CINXE.COM

<!DOCTYPE html><html lang="en-US" itemscope itemtype="http://schema.org/WebPage"><head><meta charset="utf-8"><script nonce="KSdVUpipGfL6dsfA8xQE5g">var DOCS_timing={}; DOCS_timing['sl']=new Date().getTime();</script><script nonce="KSdVUpipGfL6dsfA8xQE5g">function _DumpException(e) {throw e;}</script><script data-id="_gd" nonce="KSdVUpipGfL6dsfA8xQE5g">window.WIZ_global_data = {"K1cgmc":"%.@.[null,null,null,[null,1,[1732413451,602126000]]]]","nQyAE":{}};</script><script nonce="KSdVUpipGfL6dsfA8xQE5g">_docs_flag_initialData={"atari-emtpr":false,"atari-eibrm":false,"docs-text-elei":false,"docs-text-usc":true,"atari-bae":false,"docs-text-emtps":true,"docs-text-etsrdpn":false,"docs-text-etsrds":false,"docs-text-endes":false,"docs-text-escpv":true,"docs-text-ecfs":false,"docs-text-ecis":true,"docs-text-eectfs":true,"docs-text-edctzs":true,"docs-text-eetxpc":false,"docs-text-eetxp":false,"docs-text-ertkmcp":true,"docs-text-ettctvs":false,"docs-text-ettts":true,"docs-text-escoubs":false,"docs-text-escivs":false,"docs-text-escitrbs":false,"docs-text-ecgvd":false,"docs-text-esbbcts":true,"docs-text-etccdts":false,"docs-text-etcchrs":false,"docs-text-etctrs":false,"docs-text-eltbbs":true,"docs-text-ecvdis":false,"docs-text-elaiabbs":false,"docs-text-eiosmc":false,"docs-text-ecslpo":false,"docs-text-etb":false,"docs-text-esbefr":false,"docs-text-ipi":false,"docs-etshc":false,"docs-text-tbcb":2.0E7,"docs-efsmsdl":false,"docs-text-etof":false,"docs-text-ehlb":false,"docs-text-epa":true,"docs-text-dwit":false,"docs-text-elawp":false,"docs-eec":false,"docs-ecot":"","docs-text-enbcr":false,"docs-sup":"","umss":false,"docs-eldi":false,"docs-dli":false,"docs-liap":"/logImpressions","ilcm":{"eui":"AHKXmL1v_YQ6oA2VxcVydoH0WaBXXqKtG9U8Xxh4DeMPVVT7A4Z-wQiH0Mdo0sVEnQMD_HBeey7q","je":1,"sstu":1732665329692726,"si":"CLfg9quZ-4kDFdG8IwAdwY8pEA","gsc":null,"ei":[5703839,5704621,5706832,5706836,5707711,5737784,5737800,5738513,5738529,5740798,5740814,5743108,5743124,5747261,5748013,5748029,5752678,5752694,5753313,5753329,5754213,5754229,5755080,5755096,5758807,5758823,5762243,5762259,5764252,5764268,5765535,5765551,5766761,5766777,5773662,5773678,5774331,5774347,5774836,5774852,5776501,5776517,5784931,5784947,5784951,5784967,5791766,5791782,5796457,5796473,14101306,14101502,14101510,14101534,49372435,49372443,49375314,49375322,49472063,49472071,49622823,49622831,49623173,49623181,49643568,49643576,49644015,49644023,49769337,49769345,49822921,49822929,49823164,49823172,49833462,49833470,49842855,49842863,49924706,49924714,50221720,50221728,50266222,50266230,50273528,50273536,50297076,50297084,50297426,50297434,50498907,50498915,50529103,50529111,50561343,50561351,50586962,50586970,70971256,70971264,71035517,71035525,71038255,71038263,71079938,71079946,71085241,71085249,71185170,71185178,71197826,71197834,71238946,71238954,71289146,71289154,71387889,71387897,71429507,71429515,71478200,71478208,71478589,71478597,71502841,71502849,71528597,71528605,71530083,71530091,71544834,71544842,71545513,71545521,71546425,71546433,71560069,71560077,71561541,71561549,71573870,71573878,71642103,71642111,71652830,71652838,71658040,71658048,71659813,71659821,71689860,71689868,71699841,71699849,71720760,71721087,71721095,71733083,71733091,71798420,71798436,71798440,71798456,71849655,71849663,71882106,71882114,71897827,71897835,71960540,71960548,71961126,71961134,94327661,94327669,94333163,94333171,94353368,94353376,94390153,94390161,94413607,94413615,94420737,94420745,94434257,94434265,94435578,94435586,94444292,94444300,94484634,94484642,94489858,94489866,94502654,94502662,94526768,94526776,94545004,94545012,94597639,94597647,94630911,94661802,94661810,94707424,94707432,94784571,94784579,94875009,94875017,94904089,94904097,94929210,94929218,94942490,94942498,95065889,95065897,95086181,95086189,95087186,95087194,95112873,95112881,95118551,95118559,95135933,95135941,95234185,95234871,95234879,95251262,95251270,95254920,95254928,95270945,95270953,95314802,95314810,95317975,99237681,99237689,99247596,99247604,99310979,99310987,99338440,99338448,99368792,99368800,99401881,99401889,99402331,99402339,99437441,99437449,99460069,100130662,100130678,101406734,101406742,101442805,101442813,101456452,101456460,101488823,101488831,101489187,101489195,101507186,101507194,101519280,101519288,101606928,101606936,101617516,101617524,101631040,101631048,101705087,101708583,101708591,101771970,101771978,101776366,101776374,101783430,101783446,101875074,101875082,102047752,102047760],"crc":0,"cvi":[]},"docs-ccdil":false,"docs-eil":true,"info_params":{},"buildLabel":"editors.sites-viewer-frontend_20241112.02_p1","docs-show_debug_info":false,"atari-jefp":"/_/view/jserror","docs-jern":"view","atari-rhpp":"/_/view","docs-ecuach":false,"docs-cclt":2033,"docs-ecci":true,"docs-esi":false,"docs-efypr":true,"docs-eyprp":true}; _docs_flag_cek= null ; if (window['DOCS_timing']) {DOCS_timing['ifdld']=new Date().getTime();}</script><meta name="viewport" content="width=device-width, initial-scale=1"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="referrer" content="origin"><link rel="icon" href="https://lh4.googleusercontent.com/ntTdXDe3OOtL3bdMlJ53qC9ImxqqLrArcdd9QCA8y_qQT3YPYrbRIVHsQfiNNA3mTZGtARXWnDZCBipLwhojo-FB3SZCpO3TAXhPdOrQNMvMPg"><meta property="og:title" content="CSE - Accepted Papers"><meta property="og:type" content="website"><meta property="og:url" content="https://sites.google.com/view/cse--2020/accepted-papers"><meta property="og:description" content=" A Study into Math Document Classification using Deep Learning Fatimah Alshamari and Abdou Youssef, Department of Computer Science, The George Washington University, Washington, D.C, USA ABSTRACT Document classification is a fundamental task for many applications, including document annotation,"><meta itemprop="name" content="CSE - Accepted Papers"><meta itemprop="description" content=" A Study into Math Document Classification using Deep Learning Fatimah Alshamari and Abdou Youssef, Department of Computer Science, The George Washington University, Washington, D.C, USA ABSTRACT Document classification is a fundamental task for many applications, including document annotation,"><meta itemprop="url" content="https://sites.google.com/view/cse--2020/accepted-papers"><meta itemprop="thumbnailUrl" content="https://lh6.googleusercontent.com/8Srwvcj_ISXgpft6zUkv48NhutCFXxdGr2BUgbmvS-m5y64_5kFc_AwlbPnA7JMgF69z7bDf5N2R_xpCQjOthiLv9PVprZGSlQieqnFWNo4Sys7jfJ2VxxY-fhKH3IQ2HQ=w1280"><meta itemprop="image" content="https://lh6.googleusercontent.com/8Srwvcj_ISXgpft6zUkv48NhutCFXxdGr2BUgbmvS-m5y64_5kFc_AwlbPnA7JMgF69z7bDf5N2R_xpCQjOthiLv9PVprZGSlQieqnFWNo4Sys7jfJ2VxxY-fhKH3IQ2HQ=w1280"><meta itemprop="imageUrl" content="https://lh6.googleusercontent.com/8Srwvcj_ISXgpft6zUkv48NhutCFXxdGr2BUgbmvS-m5y64_5kFc_AwlbPnA7JMgF69z7bDf5N2R_xpCQjOthiLv9PVprZGSlQieqnFWNo4Sys7jfJ2VxxY-fhKH3IQ2HQ=w1280"><meta property="og:image" content="https://lh6.googleusercontent.com/8Srwvcj_ISXgpft6zUkv48NhutCFXxdGr2BUgbmvS-m5y64_5kFc_AwlbPnA7JMgF69z7bDf5N2R_xpCQjOthiLv9PVprZGSlQieqnFWNo4Sys7jfJ2VxxY-fhKH3IQ2HQ=w1280"><link href="https://fonts.googleapis.com/css?family=Montserrat%3A400%2C700%7CBitter%3A400%2C700&display=swap" rel="stylesheet" nonce="zAiHsYv6K5rSIb5IkIaGJQ"><link href="https://fonts.googleapis.com/css?family=Google+Sans:400,500|Roboto:300,400,500,700|Source+Code+Pro:400,700&display=swap" rel="stylesheet" nonce="zAiHsYv6K5rSIb5IkIaGJQ"><style nonce="zAiHsYv6K5rSIb5IkIaGJQ">@media only screen and (max-width: 479px){.jgG6ef{font-size: 17.0pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.jgG6ef{font-size: 17.0pt;}}@media only screen and (min-width: 768px) and (max-width: 1279px){.jgG6ef{font-size: 18.0pt;}}@media only screen and (min-width: 1280px){.jgG6ef{font-size: 18.0pt;}}</style><link rel="stylesheet" href="https://www.gstatic.com/_/atari/_/ss/k=atari.vw.7R57rYYVGiA.L.X.O/am=MBiA/d=1/rs=AGEqA5nH97dOwqY0iGblvGlWiaR59owncA" data-id="_cl" nonce="zAiHsYv6K5rSIb5IkIaGJQ"><script nonce="KSdVUpipGfL6dsfA8xQE5g"></script><title>CSE - Accepted Papers</title><style jsname="ptDGoc" nonce="zAiHsYv6K5rSIb5IkIaGJQ">.ImnMyf{background-color: rgba(255,255,255,1); color: rgba(33,33,33,1);}.Vs12Bd{background-color: rgba(240,240,240,1); color: rgba(33,33,33,1);}.S5d9Rd{background-color: rgba(58,58,58,1); color: rgba(255,255,255,1);}.O13XJf{height: 340px;}.O13XJf .IFuOkc{background-image: url(https://ssl.gstatic.com/atari/images/vision-header.jpg);}.O13XJf .IFuOkc:before{background-color: rgba(31,31,31,1); opacity: 0.5; display: block;}.O13XJf .zfr3Q{color: rgba(255,255,255,1);}.O13XJf .qnVSj{color: rgba(255,255,255,1);}.O13XJf .Glwbz{color: rgba(255,255,255,1);}.O13XJf .qLrapd{color: rgba(255,255,255,1);}.O13XJf .aHM7ed{color: rgba(255,255,255,1);}.O13XJf .NHD4Gf{color: rgba(255,255,255,1);}.O13XJf .QmpIrf{background-color: rgba(255,255,255,1); border-color: rgba(0,0,0,1); color: rgba(0,0,0,1); font-family: Bitter; font-size: 11pt; line-height: normal;}@media only screen and (max-width: 479px){.O13XJf .QmpIrf{font-size: 11pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.O13XJf .QmpIrf{font-size: 11pt;}}@media only screen and (max-width: 479px){.O13XJf{height: 250px;}}.SBrW1{height: 430px; padding-bottom: 120px; padding-top: 120px;}@media only screen and (min-width: 1280px){.yMcSQd .SBrW1{padding-bottom: 120px; padding-top: 176px;}}@media only screen and (max-width: 1279px){.Ly6Unf .SBrW1{padding-bottom: 120px; padding-top: 176px;}}.Wew9ke{fill: rgba(255,255,255,1);}.fOU46b .KJll8d{background-color: rgba(255,255,255,1);}.fOU46b .tCHXDc{color: rgba(255,255,255,1);}.fOU46b .iWs3gf.chg4Jd:focus{background-color: rgba(255,255,255,0.1199999973);}.fOU46b .G8QRnc .tCHXDc{color: rgba(255,255,255,1);}.fOU46b .G8QRnc .iWs3gf.chg4Jd:focus{background-color: rgba(255,255,255,0.1199999973);}.fOU46b .aCIEDd .tCHXDc{color: rgba(255,255,255,1);}.fOU46b .aCIEDd .iWs3gf.chg4Jd:focus{background-color: rgba(255,255,255,0.1199999973);}@media only screen and (min-width: 1280px){.b2Iqye.fOU46b .G8QRnc .tCHXDc{color: rgba(33,33,33,1);}}.b2Iqye.fOU46b .iWs3gf.chg4Jd:focus{background-color: rgba(33,33,33,0.1199999973);}@media only screen and (min-width: 1280px){.b2Iqye.fOU46b .aCIEDd .tCHXDc{color: rgba(0,0,0,1);}}.b2Iqye.fOU46b .iWs3gf.chg4Jd:focus{background-color: rgba(0,0,0,0.1199999973);}@media only screen and (min-width: 1280px){.XeSM4.b2Iqye.fOU46b .LBrwzc .tCHXDc{color: rgba(255,255,255,1);}}.XeSM4.b2Iqye.fOU46b .LBrwzc .iWs3gf.chg4Jd:focus{background-color: rgba(255,255,255,0.1199999973);}@media only screen and (min-width: 1280px){.KuNac.b2Iqye.fOU46b .GBy4H .tCHXDc{color: rgba(33,33,33,1);}}.KuNac.b2Iqye.fOU46b .iWs3gf.chg4Jd:focus{background-color: rgba(33,33,33,0.1199999973);}@media only screen and (min-width: 1280px){.fOU46b .XeSM4 .tCHXDc{color: rgba(255,255,255,1);}}.fOU46b .XeSM4 .iWs3gf.chg4Jd:focus{background-color: rgba(255,255,255,0.1199999973);}@media only screen and (min-width: 1280px){.fOU46b .KuNac .tCHXDc{color: rgba(33,33,33,1);}}.fOU46b .KuNac .iWs3gf.chg4Jd:focus{background-color: rgba(33,33,33,0.1199999973);}.fOU46b .YTv4We.chg4Jd:focus:before{border-color: rgba(255,255,255,1); display: block;}.fOU46b .zDUgLc{opacity: 1;}.fOU46b .LBrwzc .zDUgLc{border-bottom-style: none;}.YSH9J{color: rgba(255,255,255,1);}.oNsfjf{color: rgba(255,255,255,1);}.wgxiMe{background-color: rgba(230,21,94,1);}.JzO0Vc{background-color: rgba(230,21,94,1);}.M63kCb{background-color: rgba(255,255,255,1);}.zfr3Q{font-family: Bitter; color: rgba(33,33,33,1); font-size: 11pt; line-height: 1.6; margin-top: 15px;}.qnVSj{color: rgba(33,33,33,1);}.Glwbz{color: rgba(33,33,33,1);}.dhtgD{text-decoration: underline;}.dhtgD:hover{opacity: 0.7;}.dhtgD:active{opacity: 0.7;}.yaqOZd .duRjpb:not(.TYR86d):not(.Ap4VC):first-child{padding-top: 13px;}.yaqOZd .duRjpb:not(.TYR86d):first-of-type{padding-top: 13px;}.yaqOZd .duRjpb:not(.TYR86d):last-child{padding-bottom: 13px;}.duRjpb{font-family: Montserrat; font-size: 34pt; line-height: 1.2; font-weight: 700; color: rgba(233,30,99,1);}.duRjpb:not(.TYR86d){margin-top: 30px; padding-top: 13px; padding-bottom: 13px; border-bottom-color: rgba(240,240,240,1); border-top-color: rgba(240,240,240,1); border-bottom-style: solid; border-top-style: solid; border-bottom-width: 5px; border-top-width: 5px;}.Ap4VC{margin-bottom: -30px;}.qLrapd{color: rgba(233,30,99,1);}.JYVBee{font-family: Bitter; font-size: 21pt; line-height: 1.25; font-weight: 700; margin-top: 25px; color: rgba(33,33,33,1);}.CobnVe{margin-bottom: -25px;}.aHM7ed{color: rgba(33,33,33,1);}.OmQG5e{font-family: Bitter; font-size: 15pt; line-height: 1.25; margin-top: 20px; font-weight: 700; color: rgba(233,30,99,1);}.GV3q8e{margin-bottom: -20px;}.NHD4Gf{color: rgba(233,30,99,1);}.duRjpb .OUGEr{color: rgba(233,30,99,1);}.JYVBee .OUGEr{color: rgba(33,33,33,1);}.OmQG5e .OUGEr{color: rgba(233,30,99,1);}.TMjjoe{font-family: Montserrat; font-size: 9pt; line-height: 1.2; margin-top: 0px;}.Zjiec{font-family: Montserrat; font-weight: 400; font-size: 20pt; line-height: 1.75; margin-top: 48px; margin-left: 48px; margin-bottom: 62px; margin-right: 32px;}.XMyrgf{margin-top: 48px; margin-left: 48px; margin-bottom: 0px; margin-right: 32px;}.PsKE7e{font-family: Bitter; font-weight: 400; font-size: 12pt;}.IKA38e{border-left-width: 8px; border-left-style: solid; border-left-color: transparent;}.lhZOrc{color: 0.6; border-left-color: rgba(255,255,255,1); font-weight: 700;}.rysYnb .mohMlc{padding-left: 24px;}.Mz8gvb{color: rgba(255,255,255,1);}.LBrwzc .YSH9J{color: rgba(33,33,33,1);}.LBrwzc .oNsfjf{color: rgba(33,33,33,1);}.LBrwzc .KJll8d{background-color: rgba(33,33,33,1);}.LBrwzc .YTv4We.chg4Jd:focus:before{border-color: rgba(33,33,33,1); display: block;}.LBrwzc .Mz8gvb{color: rgba(33,33,33,1);}.LBrwzc .wgxiMe{background-color: rgba(255,255,255,1);}.LBrwzc .lhZOrc{border-left-color: rgba(230,21,94,1);}.LBrwzc .M9vuGd{border-bottom-color: rgba(230,21,94,1);}.LBrwzc .Mz8gvb{color: rgba(33,33,33,1);}.LBrwzc .zDUgLc{border-bottom-color: rgba(204,204,204,1); border-bottom-width: 1px; border-bottom-style: solid;}.GBy4H .oNsfjf{color: rgba(255,255,255,1);}.GBy4H .YSH9J{color: rgba(255,255,255,1);}.GBy4H .Mz8gvb{color: rgba(255,255,255,1);}.GBy4H .wgxiMe{background-color: rgba(0,0,0,1);}.GBy4H .M9vuGd{border-bottom-color: rgba(255,255,255,1);}.GBy4H .Mz8gvb{color: rgba(255,255,255,1);}.TlfmSc{font-family: Montserrat; font-weight: 400; font-size: 15pt; line-height: 1.33;}.jgXgSe{font-family: Bitter; font-weight: 400; font-size: 12pt; line-height: 28px;}.u5fiyc{line-height: 28px;}.IKA38e{padding-left: 28px; margin-top: 20px;}.hDrhEe{font-family: Bitter; font-weight: 400;}.iwQgFb{height: 2px; margin-top: 8px; background-color: rgba(0,0,0,0.150000006);}.ySLm4c{font-family: Bitter;}.CbiMKe{background-color: rgba(230,21,94,1);}.QmpIrf{background-color: rgba(230,21,94,1); border-color: rgba(255,255,255,1); color: rgba(255,255,255,1); font-family: Bitter; font-size: 11pt; line-height: normal;}.qeLZfd:before{background-color: rgba(240,240,240,1); display: block;}.qeLZfd .iwQgFb{background-color: rgba(230,21,94,1);}.qeLZfd .zfr3Q{color: rgba(33,33,33,1);}.qeLZfd .qnVSj{color: rgba(33,33,33,1);}.qeLZfd .Glwbz{color: rgba(33,33,33,1);}.qeLZfd .duRjpb{border-bottom-color: rgba(255,255,255,1); border-top-color: rgba(255,255,255,1); color: rgba(233,30,99,1);}.qeLZfd .qLrapd{color: rgba(233,30,99,1);}.qeLZfd .JYVBee{color: rgba(33,33,33,1);}.qeLZfd .aHM7ed{color: rgba(33,33,33,1);}.qeLZfd .OmQG5e{color: rgba(233,30,99,1);}.qeLZfd .NHD4Gf{color: rgba(233,30,99,1);}.qeLZfd .duRjpb .OUGEr{color: rgba(233,30,99,1);}.qeLZfd .JYVBee .OUGEr{color: rgba(33,33,33,1);}.qeLZfd .OmQG5e .OUGEr{color: rgba(233,30,99,1);}.lQAHbd:before{background-color: rgba(58,58,58,1); display: block;}.lQAHbd .iwQgFb{background-color: rgba(233,30,99,1);}.lQAHbd .QmpIrf{background-color: rgba(255,255,255,1); border-color: rgba(0,0,0,1); color: rgba(0,0,0,1); font-family: Bitter; font-size: 11pt; line-height: normal;}.lQAHbd .CbiMKe{background-color: rgba(255,255,255,1);}@media only screen and (max-width: 479px){.lQAHbd .QmpIrf{font-size: 11pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.lQAHbd .QmpIrf{font-size: 11pt;}}.lQAHbd .zfr3Q{color: rgba(255,255,255,1);}.lQAHbd .qnVSj{color: rgba(255,255,255,1);}.lQAHbd .Glwbz{color: rgba(255,255,255,1);}.lQAHbd .duRjpb{color: rgba(255,255,255,1); border-top-color: rgba(48,48,48,1); border-bottom-color: rgba(48,48,48,1);}.lQAHbd .qLrapd{color: rgba(255,255,255,1);}.lQAHbd .JYVBee{color: rgba(255,255,255,1);}.lQAHbd .aHM7ed{color: rgba(255,255,255,1);}.lQAHbd .OmQG5e{color: rgba(255,255,255,1);}.lQAHbd .NHD4Gf{color: rgba(255,255,255,1);}.lQAHbd .OUGEr{color: rgba(255,255,255,1);}.LB7kq{padding-bottom: 56px; padding-top: 56px;}@media only screen and (max-width: 479px){.LB7kq{padding-bottom: 28px; padding-top: 28px;}}@media only screen and (min-width: 1280px){.yMcSQd .LB7kq{padding-bottom: 56px; padding-top: 112px;}}@media only screen and (min-width: 1280px){.yMcSQd .tCHXDc{color: rgba(255,255,255,1);}}.yMcSQd .iWs3gf.chg4Jd:focus{background-color: rgba(255,255,255,0.1199999973);}@media only screen and (min-width: 1280px){.yMcSQd .LBrwzc .tCHXDc{color: rgba(33,33,33,1);}}.yMcSQd .LBrwzc .iWs3gf.chg4Jd:focus{background-color: rgba(33,33,33,0.1199999973);}@media only screen and (min-width: 1280px){.yMcSQd .GBy4H .tCHXDc{color: rgba(255,255,255,1);}}.yMcSQd .GBy4H .iWs3gf.chg4Jd:focus{background-color: rgba(255,255,255,0.1199999973);}@media only screen and (min-width: 1280px){.KuNac.yMcSQd .GBy4H .tCHXDc{color: rgba(255,255,255,1);}}.KuNac.yMcSQd .GBy4H .iWs3gf.chg4Jd:focus{background-color: rgba(255,255,255,0.1199999973);}@media only screen and (min-width: 480px) and (max-width: 1279px){.Ly6Unf .LB7kq{padding-bottom: 56px; padding-top: 112px;}}@media only screen and (min-width: 480px) and (max-width: 1279px){.Ly6Unf .tCHXDc{color: rgba(255,255,255,1);}}.Ly6Unf .iWs3gf.chg4Jd:focus{background-color: rgba(255,255,255,0.1199999973);}@media only screen and (min-width: 480px) and (max-width: 1279px){.Ly6Unf .GBy4H .tCHXDc{color: rgba(255,255,255,1);}}.Ly6Unf .GBy4H .iWs3gf.chg4Jd:focus{background-color: rgba(255,255,255,0.1199999973);}@media only screen and (min-width: 480px) and (max-width: 1279px){.Ly6Unf .LBrwzc .tCHXDc{color: rgba(33,33,33,1);}}.Ly6Unf .LBrwzc .iWs3gf.chg4Jd:focus{background-color: rgba(33,33,33,0.1199999973);}@media only screen and (max-width: 479px){.Ly6Unf .LB7kq{padding-bottom: 28px; padding-top: 84px;}}@media only screen and (max-width: 479px){.Ly6Unf .tCHXDc{color: rgba(255,255,255,1);}}.Ly6Unf .iWs3gf.chg4Jd:focus{background-color: rgba(255,255,255,0.1199999973);}@media only screen and (max-width: 479px){.Ly6Unf .GBy4H .tCHXDc{color: rgba(255,255,255,1);}}.Ly6Unf .GBy4H .iWs3gf.chg4Jd:focus{background-color: rgba(255,255,255,0.1199999973);}@media only screen and (max-width: 479px){.Ly6Unf .LBrwzc .tCHXDc{color: rgba(33,33,33,1);}}.Ly6Unf .LBrwzc .iWs3gf.chg4Jd:focus{background-color: rgba(33,33,33,0.1199999973);}@media only screen and (min-width: 480px) and (max-width: 767px){.Ly6Unf .gk8rDe{padding-top: 84px; padding-bottom: 28px;}}@media only screen and (max-width: 479px){.Ly6Unf .gk8rDe{padding-top: 56px; padding-bottom: 0px;}}.LB7kq .duRjpb{font-size: 58pt; line-height: 1.06; font-weight: 700; margin-top: 35px; border-bottom-style: none; border-top-style: none;}@media only screen and (max-width: 479px){.LB7kq .duRjpb{font-size: 37pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.LB7kq .duRjpb{font-size: 49pt;}}.cJgDec .zfr3Q{color: rgba(255,255,255,1); border-bottom-color: rgba(255,255,255,1); border-top-color: rgba(255,255,255,1);}.cJgDec .zfr3Q .OUGEr{color: rgba(255,255,255,1);}.cJgDec .qnVSj{color: rgba(255,255,255,1);}.cJgDec .Glwbz{color: rgba(255,255,255,1);}.cJgDec .qLrapd{color: rgba(255,255,255,1);}.cJgDec .aHM7ed{color: rgba(255,255,255,1);}.cJgDec .NHD4Gf{color: rgba(255,255,255,1);}.cJgDec .IFuOkc:before{background-color: rgba(33,33,33,1); opacity: 0.5; display: block;}.cJgDec .QmpIrf{background-color: rgba(255,255,255,1); border-color: rgba(0,0,0,1); color: rgba(0,0,0,1); font-family: Bitter; font-size: 11pt; line-height: normal;}@media only screen and (max-width: 479px){.cJgDec .QmpIrf{font-size: 11pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.cJgDec .QmpIrf{font-size: 11pt;}}.tpmmCb .zfr3Q{color: rgba(15,15,15,1); border-bottom-color: rgba(15,15,15,1); border-top-color: rgba(15,15,15,1);}.tpmmCb .zfr3Q .OUGEr{color: rgba(15,15,15,1);}.tpmmCb .qnVSj{color: rgba(15,15,15,1);}.tpmmCb .Glwbz{color: rgba(15,15,15,1);}.tpmmCb .qLrapd{color: rgba(15,15,15,1);}.tpmmCb .aHM7ed{color: rgba(15,15,15,1);}.tpmmCb .NHD4Gf{color: rgba(15,15,15,1);}.tpmmCb .IFuOkc:before{background-color: rgba(255,255,255,1); display: block;}.tpmmCb .Wew9ke{fill: rgba(15,15,15,1);}.tpmmCb .QmpIrf{background-color: rgba(255,255,255,1); border-color: rgba(0,0,0,1); color: rgba(0,0,0,1); font-family: Bitter; font-size: 11pt; line-height: normal;}@media only screen and (max-width: 479px){.tpmmCb .QmpIrf{font-size: 11pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.tpmmCb .QmpIrf{font-size: 11pt;}}.gk8rDe .duRjpb{font-size: 40pt;}.gk8rDe .zfr3Q{color: rgba(15,15,15,1);}.gk8rDe .duRjpb{color: rgba(15,15,15,1);}.gk8rDe .qLrapd{color: rgba(15,15,15,1);}.gk8rDe .OmQG5e{color: rgba(15,15,15,1);}.gk8rDe .NHD4Gf{color: rgba(15,15,15,1);}.gk8rDe .QmpIrf{background-color: rgba(230,21,94,1); border-color: rgba(255,255,255,1); color: rgba(255,255,255,1); font-family: Bitter; font-size: 11pt; line-height: normal;}@media only screen and (max-width: 479px){.gk8rDe .duRjpb{font-size: 27pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.gk8rDe .duRjpb{font-size: 34pt;}}@media only screen and (max-width: 479px){.gk8rDe .QmpIrf{font-size: 11pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.gk8rDe .QmpIrf{font-size: 11pt;}}.zDUgLc{background-color: rgba(230,21,94,1); opacity: 1;}.qV4dIc{border-bottom-color: rgba(255,255,255,0); border-bottom-style: solid; border-bottom-width: 8px; padding-top: 14px; padding-bottom: 6px; padding-left: 2px; padding-right: 2px; margin-left: 10px; margin-right: 10px;}.M9vuGd{border-bottom-color: rgba(255,255,255,1);}.eWDljc{background-color: rgba(230,21,94,1); padding-bottom: 28px;}.PsKE7e:hover{opacity: 0.6;}.BFDQOb:hover{opacity: 0.6;}.QcmuFb{padding-left: 20px;}.vDPrib{padding-left: 40px;}.TBDXjd{padding-left: 60px;}.bYeK8e{padding-left: 80px;}.CuqSDe{padding-left: 100px;}.Havqpe{padding-left: 120px;}.JvDrRe{padding-left: 140px;}.o5lrIf{padding-left: 160px;}.yOJW7c{padding-left: 180px;}.rB8cye{padding-left: 200px;}.RuayVd{padding-right: 20px;}.YzcKX{padding-right: 40px;}.reTV0b{padding-right: 60px;}.vSYeUc{padding-right: 80px;}.PxtZIe{padding-right: 100px;}.ahQMed{padding-right: 120px;}.rzhcXb{padding-right: 140px;}.PBhj0b{padding-right: 160px;}.TlN46c{padding-right: 180px;}.GEdNnc{padding-right: 200px;}.xkUom{border-color: rgba(230,21,94,1); color: rgba(230,21,94,1); font-family: Bitter; font-size: 11pt; line-height: normal;}.xkUom:hover{background-color: rgba(230,21,94,0.1000000015);}.KjwKmc{color: rgba(230,21,94,1); font-family: Bitter; font-size: 11pt; line-height: normal;}.KjwKmc:hover{background-color: rgba(230,21,94,0.1000000015);}.lQAHbd .xkUom{border-color: rgba(255,255,255,1); color: rgba(255,255,255,1); font-family: Bitter; font-size: 11pt; line-height: normal;}.lQAHbd .xkUom:hover{background-color: rgba(255,255,255,0.1000000015);}.lQAHbd .KjwKmc{color: rgba(255,255,255,1); font-family: Bitter; font-size: 11pt; line-height: normal;}.lQAHbd .KjwKmc:hover{background-color: rgba(255,255,255,0.1000000015);}@media only screen and (max-width: 479px){.lQAHbd .xkUom{font-size: 11pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.lQAHbd .xkUom{font-size: 11pt;}}@media only screen and (max-width: 479px){.lQAHbd .KjwKmc{font-size: 11pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.lQAHbd .KjwKmc{font-size: 11pt;}}.lQAHbd .Mt0nFe{border-color: rgba(255,255,255,0.200000003);}.cJgDec .xkUom{border-color: rgba(255,255,255,1); color: rgba(255,255,255,1); font-family: Bitter; font-size: 11pt; line-height: normal;}.cJgDec .xkUom:hover{background-color: rgba(255,255,255,0.1000000015);}.cJgDec .KjwKmc{color: rgba(255,255,255,1); font-family: Bitter; font-size: 11pt; line-height: normal;}.cJgDec .KjwKmc:hover{background-color: rgba(255,255,255,0.1000000015);}@media only screen and (max-width: 479px){.cJgDec .xkUom{font-size: 11pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.cJgDec .xkUom{font-size: 11pt;}}@media only screen and (max-width: 479px){.cJgDec .KjwKmc{font-size: 11pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.cJgDec .KjwKmc{font-size: 11pt;}}.tpmmCb .xkUom{border-color: rgba(230,21,94,1); color: rgba(230,21,94,1); font-family: Bitter; font-size: 11pt; line-height: normal;}.tpmmCb .xkUom:hover{background-color: rgba(230,21,94,0.1000000015);}.tpmmCb .KjwKmc{color: rgba(230,21,94,1); font-family: Bitter; font-size: 11pt; line-height: normal;}.tpmmCb .KjwKmc:hover{background-color: rgba(230,21,94,0.1000000015);}@media only screen and (max-width: 479px){.tpmmCb .xkUom{font-size: 11pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.tpmmCb .xkUom{font-size: 11pt;}}@media only screen and (max-width: 479px){.tpmmCb .KjwKmc{font-size: 11pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.tpmmCb .KjwKmc{font-size: 11pt;}}.gk8rDe .xkUom{border-color: rgba(230,21,94,1); color: rgba(230,21,94,1); font-family: Bitter; font-size: 11pt; line-height: normal;}.gk8rDe .xkUom:hover{background-color: rgba(230,21,94,0.1000000015);}.gk8rDe .KjwKmc{color: rgba(230,21,94,1); font-family: Bitter; font-size: 11pt; line-height: normal;}.gk8rDe .KjwKmc:hover{background-color: rgba(230,21,94,0.1000000015);}@media only screen and (max-width: 479px){.gk8rDe .xkUom{font-size: 11pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.gk8rDe .xkUom{font-size: 11pt;}}@media only screen and (max-width: 479px){.gk8rDe .KjwKmc{font-size: 11pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.gk8rDe .KjwKmc{font-size: 11pt;}}.O13XJf .xkUom{border-color: rgba(255,255,255,1); color: rgba(255,255,255,1); font-family: Bitter; font-size: 11pt; line-height: normal;}.O13XJf .xkUom:hover{background-color: rgba(255,255,255,0.1000000015);}.O13XJf .KjwKmc{color: rgba(255,255,255,1); font-family: Bitter; font-size: 11pt; line-height: normal;}.O13XJf .KjwKmc:hover{background-color: rgba(255,255,255,0.1000000015);}@media only screen and (max-width: 479px){.O13XJf .xkUom{font-size: 11pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.O13XJf .xkUom{font-size: 11pt;}}@media only screen and (max-width: 479px){.O13XJf .KjwKmc{font-size: 11pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.O13XJf .KjwKmc{font-size: 11pt;}}.Y4CpGd{font-family: Bitter; font-size: 11pt;}.CMArNe{background-color: rgba(240,240,240,1);}@media only screen and (max-width: 479px){.duRjpb{font-size: 24pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.duRjpb{font-size: 29pt;}}@media only screen and (max-width: 479px){.JYVBee{font-size: 17pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.JYVBee{font-size: 19pt;}}@media only screen and (max-width: 479px){.OmQG5e{font-size: 13pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.OmQG5e{font-size: 14pt;}}@media only screen and (max-width: 479px){.TMjjoe{font-size: 9pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.TMjjoe{font-size: 9pt;}}@media only screen and (max-width: 479px){.Zjiec{font-size: 16pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.Zjiec{font-size: 18pt;}}@media only screen and (max-width: 479px){.PsKE7e{font-size: 12pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.PsKE7e{font-size: 12pt;}}@media only screen and (max-width: 479px){.TlfmSc{font-size: 13pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.TlfmSc{font-size: 14pt;}}@media only screen and (max-width: 479px){.jgXgSe{font-size: 12pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.jgXgSe{font-size: 12pt;}}@media only screen and (max-width: 479px){.QmpIrf{font-size: 11pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.QmpIrf{font-size: 11pt;}}@media only screen and (max-width: 479px){.xkUom{font-size: 11pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.xkUom{font-size: 11pt;}}@media only screen and (max-width: 479px){.KjwKmc{font-size: 11pt;}}@media only screen and (min-width: 480px) and (max-width: 767px){.KjwKmc{font-size: 11pt;}}section[id="h.244e612e45e2ef32_6"] .IFuOkc:before{opacity: 0.4;}section[id="h.4cd5cd146ab91922_182"] .IFuOkc:before{opacity: 0.0;}</style><script nonce="KSdVUpipGfL6dsfA8xQE5g">_at_config = [null,"AIzaSyChg3MFqzdi1P5J-YvEyakkSA1yU7HRcDI","897606708560-a63d8ia0t9dhtpdt4i3djab2m42see7o.apps.googleusercontent.com",null,null,null,null,null,null,null,null,null,null,null,"SITES_%s",null,null,null,null,null,null,null,null,null,["AHKXmL1v_YQ6oA2VxcVydoH0WaBXXqKtG9U8Xxh4DeMPVVT7A4Z-wQiH0Mdo0sVEnQMD_HBeey7q",1,"CLfg9quZ-4kDFdG8IwAdwY8pEA",1732665329692726,[5703839,5704621,5706832,5706836,5707711,5737784,5737800,5738513,5738529,5740798,5740814,5743108,5743124,5747261,5748013,5748029,5752678,5752694,5753313,5753329,5754213,5754229,5755080,5755096,5758807,5758823,5762243,5762259,5764252,5764268,5765535,5765551,5766761,5766777,5773662,5773678,5774331,5774347,5774836,5774852,5776501,5776517,5784931,5784947,5784951,5784967,5791766,5791782,5796457,5796473,14101306,14101502,14101510,14101534,49372435,49372443,49375314,49375322,49472063,49472071,49622823,49622831,49623173,49623181,49643568,49643576,49644015,49644023,49769337,49769345,49822921,49822929,49823164,49823172,49833462,49833470,49842855,49842863,49924706,49924714,50221720,50221728,50266222,50266230,50273528,50273536,50297076,50297084,50297426,50297434,50498907,50498915,50529103,50529111,50561343,50561351,50586962,50586970,70971256,70971264,71035517,71035525,71038255,71038263,71079938,71079946,71085241,71085249,71185170,71185178,71197826,71197834,71238946,71238954,71289146,71289154,71387889,71387897,71429507,71429515,71478200,71478208,71478589,71478597,71502841,71502849,71528597,71528605,71530083,71530091,71544834,71544842,71545513,71545521,71546425,71546433,71560069,71560077,71561541,71561549,71573870,71573878,71642103,71642111,71652830,71652838,71658040,71658048,71659813,71659821,71689860,71689868,71699841,71699849,71720760,71721087,71721095,71733083,71733091,71798420,71798436,71798440,71798456,71849655,71849663,71882106,71882114,71897827,71897835,71960540,71960548,71961126,71961134,94327661,94327669,94333163,94333171,94353368,94353376,94390153,94390161,94413607,94413615,94420737,94420745,94434257,94434265,94435578,94435586,94444292,94444300,94484634,94484642,94489858,94489866,94502654,94502662,94526768,94526776,94545004,94545012,94597639,94597647,94630911,94661802,94661810,94707424,94707432,94784571,94784579,94875009,94875017,94904089,94904097,94929210,94929218,94942490,94942498,95065889,95065897,95086181,95086189,95087186,95087194,95112873,95112881,95118551,95118559,95135933,95135941,95234185,95234871,95234879,95251262,95251270,95254920,95254928,95270945,95270953,95314802,95314810,95317975,99237681,99237689,99247596,99247604,99310979,99310987,99338440,99338448,99368792,99368800,99401881,99401889,99402331,99402339,99437441,99437449,99460069,100130662,100130678,101406734,101406742,101442805,101442813,101456452,101456460,101488823,101488831,101489187,101489195,101507186,101507194,101519280,101519288,101606928,101606936,101617516,101617524,101631040,101631048,101705087,101708583,101708591,101771970,101771978,101776366,101776374,101783430,101783446,101875074,101875082,102047752,102047760]],null,null,null,null,0,null,null,null,null,null,null,null,null,null,"https://drive.google.com",null,null,null,null,null,null,null,null,null,0,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"v2internal","https://docs.google.com",null,null,null,null,null,null,"https://sites.google.com/new/",null,null,null,null,null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1,"",null,null,null,null,null,null,null,null,null,null,null,null,6,null,null,"https://accounts.google.com/o/oauth2/auth","https://accounts.google.com/o/oauth2/postmessageRelay",null,null,null,null,78,"https://sites.google.com/new/?usp\u003dviewer_footer",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"https://www.gstatic.com/atari/embeds/83a60601c213b72fb19c1855fb0c5f26/intermediate-frame-minified.html",0,null,"v2beta",null,null,null,null,null,null,4,"https://accounts.google.com/o/oauth2/iframe",null,null,null,null,null,null,"https://995260682-atari-embeds.googleusercontent.com/embeds/16cb204cf3a9d4d223a0a3fd8b0eec5d/inner-frame-minified.html",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"https://sites.google.com/view/cse--2020/accepted-papers",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,null,null,null,null,null,null,0,null,"",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1,null,null,null,null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1,null,null,[1732665329693,"editors.sites-viewer-frontend_20241112.02_p1","695977640",null,1,1,""],null,null,null,null,0,null,null,0,null,null,null,null,null,null,null,null,20,500,"https://domains.google.com",null,0,null,null,null,null,null,null,null,null,null,null,null,0,null,null,null,null,null,null,null,null,null,null,1,0,1,0,0,0,0,null,null,null,null,null,"https://www.google.com/calendar/embed",null,null,null,null,0,null,null,null,null,null,null,null,null,null,null,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"PROD",0,null,0,null,1]; window.globals = {"enableAnalytics":true,"webPropertyId":"","showDebug":false,"hashedSiteId":"73f522c465ba0d79bc23a7fd94f38686c3e34aa31971e9ae6ab4ea0cabb0a176","normalizedPath":"view/cse--2020/accepted-papers","pageTitle":"Accepted Papers"}; function gapiLoaded() {if (globals.gapiLoaded == undefined) {globals.gapiLoaded = true;} else {globals.gapiLoaded();}}window.messages = []; window.addEventListener && window.addEventListener('message', function(e) {if (window.messages && e.data && e.data.magic == 'SHIC') {window.messages.push(e);}});</script><script src="https://apis.google.com/js/client.js?onload=gapiLoaded" nonce="KSdVUpipGfL6dsfA8xQE5g"></script><script nonce="KSdVUpipGfL6dsfA8xQE5g">(function(){}).call(this); </script><script nonce="KSdVUpipGfL6dsfA8xQE5g">const imageUrl = 'https:\/\/lh4.googleusercontent.com\/qaZYPFG_MaiUMyUInTiw6bvp1idF0QVnwvdZ6E2XYHF-kmbgXeENOM8IN9RGppnWIr3jT4bZnPxVKllKsF1bFtQ\x3dw16383'; function bgImgLoaded() { if (!globals.headerBgImgLoaded) { globals.headerBgImgLoaded = new Date().getTime(); } else { globals.headerBgImgLoaded(); } } if (imageUrl) { const img = new Image(); img.src = imageUrl; img.onload = bgImgLoaded; globals.headerBgImgExists = true; } else { globals.headerBgImgExists = false; } </script></head><body dir="ltr" itemscope itemtype="http://schema.org/WebPage" id="yDmH0d" css="yDmH0d"><div jscontroller="pc62j" jsmodel="iTeaXe" jsaction="rcuQ6b:WYd;GvneHb:og1FDd;vbaUQc:uAM5ec;"><div id="docs-banner-container"><div id="docs-banners"><div id="HB1eCd-mzNpsf-r8s4j-ORHb"></div><div id="HB1eCd-TZk80d-r8s4j-ORHb" aria-live="assertive" aria-atomic="true"></div></div><div class="HB1eCd-Vkfede-NBtyUd-PvRhvb-LwH6nd"></div></div><div jscontroller="X4BaPc" jsaction="rcuQ6b:WYd;o6xM5b:Pg9eo;HuL2Hd:mHeCvf;VMhF5:FFYy5e;sk3Qmb:HI1Mdd;JIbuQc:rSzFEd(z2EeY),aSaF6e(ilzYPe);"><div jscontroller="o1L5Wb" data-sitename="cse--2020" data-search-scope="1" data-universe="1" jsmodel="fNFZH" jsaction="Pe9H6d:cZFEp;WMZaJ:VsGN3;hJluRd:UADL7b;zuqEgd:HI9w0;tr6QDd:Y8aXB;MxH79b:xDkBfb;JIbuQc:SPXMTb(uxAMZ),LjG1Ed(a6mxbb);" jsname="G0jgYd"><div jsname="gYwusb" class="p9b27"></div><div jscontroller="RrXLpc" jsname="XeeWQc" role="banner" jsaction="keydown:uiKYid(OH0EC);rcuQ6b:WYd;zuqEgd:ufqpf;JIbuQc:XfTnxb(lfEfFf),AlTiYc(GeGHKb),AlTiYc(m1xNUe),zZlNMe(pZn8Oc);YqO5N:ELcyfe;"><div jsname="bF1uUb" class="BuY5Fd" jsaction="click:xVuwSc;"></div><div jsname="MVsrn" class="TbNlJb "><div role="button" class="U26fgb mUbCce fKz7Od h3nfre M9Bg4d" jscontroller="VXdfxd" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;touchstart:p6p2H; touchmove:FwuNnf; touchend:yfqBxc(preventDefault=true); touchcancel:JMtRjd;" jsshadow jsname="GeGHKb" aria-label="Back to site" aria-disabled="false" tabindex="0" data-tooltip="Back to site" data-tooltip-vertical-offset="-12" data-tooltip-horizontal-offset="0"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -12px"><svg class="V4YR2c" viewBox="0 0 24 24" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M20 11H7.83l5.59-5.59L12 4l-8 8 8 8 1.41-1.41L7.83 13H20v-2z"/></svg></span></span></div><div class="E2UJ5" jsname="M6JdT"><div class="rFrNMe b7AJhc zKHdkd" jscontroller="pxq3x" jsaction="clickonly:KjsqPd; focus:Jt1EX; blur:fpfTEe; input:Lg5SV" jsshadow jsname="OH0EC" aria-expanded="true"><div class="aCsJod oJeWuf"><div class="aXBtI I0VJ4d Wic03c"><span jsslot class="A37UZe qgcB3c iHd5yb"><div role="button" class="U26fgb mUbCce fKz7Od i3PoXe M9Bg4d" jscontroller="VXdfxd" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;touchstart:p6p2H; touchmove:FwuNnf; touchend:yfqBxc(preventDefault=true); touchcancel:JMtRjd;" jsshadow jsname="lfEfFf" aria-label="Search" aria-disabled="false" tabindex="0" data-tooltip="Search" data-tooltip-vertical-offset="-12" data-tooltip-horizontal-offset="0"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -12px"><svg class="vu8Pwe" viewBox="0 0 24 24" focusable="false"><path d="M15.5 14h-.79l-.28-.27C15.41 12.59 16 11.11 16 9.5 16 5.91 13.09 3 9.5 3S3 5.91 3 9.5 5.91 16 9.5 16c1.61 0 3.09-.59 4.23-1.57l.27.28v.79l5 4.99L20.49 19l-4.99-5zm-6 0C7.01 14 5 11.99 5 9.5S7.01 5 9.5 5 14 7.01 14 9.5 11.99 14 9.5 14z"/><path d="M0 0h24v24H0z" fill="none"/></svg></span></span></div><div class="EmVfjc SKShhf" data-loadingmessage="Loading…" jscontroller="qAKInc" jsaction="animationend:kWijWc;dyRcpb:dyRcpb" jsname="aZ2wEe"><div class="Cg7hO" aria-live="assertive" jsname="vyyg5"></div><div jsname="Hxlbvc" class="xu46lf"><div class="ir3uv uWlRce co39ub"><div class="xq3j6 ERcjC"><div class="X6jHbb GOJTSe"></div></div><div class="HBnAAc"><div class="X6jHbb GOJTSe"></div></div><div class="xq3j6 dj3yTd"><div class="X6jHbb GOJTSe"></div></div></div><div class="ir3uv GFoASc Cn087"><div class="xq3j6 ERcjC"><div class="X6jHbb GOJTSe"></div></div><div class="HBnAAc"><div class="X6jHbb GOJTSe"></div></div><div class="xq3j6 dj3yTd"><div class="X6jHbb GOJTSe"></div></div></div><div class="ir3uv WpeOqd hfsr6b"><div class="xq3j6 ERcjC"><div class="X6jHbb GOJTSe"></div></div><div class="HBnAAc"><div class="X6jHbb GOJTSe"></div></div><div class="xq3j6 dj3yTd"><div class="X6jHbb GOJTSe"></div></div></div><div class="ir3uv rHV3jf EjXFBf"><div class="xq3j6 ERcjC"><div class="X6jHbb GOJTSe"></div></div><div class="HBnAAc"><div class="X6jHbb GOJTSe"></div></div><div class="xq3j6 dj3yTd"><div class="X6jHbb GOJTSe"></div></div></div></div></div><div role="button" class="U26fgb mUbCce fKz7Od JyJRXe M9Bg4d" jscontroller="VXdfxd" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;touchstart:p6p2H; touchmove:FwuNnf; touchend:yfqBxc(preventDefault=true); touchcancel:JMtRjd;" jsshadow jsname="m1xNUe" aria-label="Back to site" aria-disabled="false" tabindex="0" data-tooltip="Back to site" data-tooltip-vertical-offset="-12" data-tooltip-horizontal-offset="0"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -12px"><svg class="V4YR2c" viewBox="0 0 24 24" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M20 11H7.83l5.59-5.59L12 4l-8 8 8 8 1.41-1.41L7.83 13H20v-2z"/></svg></span></span></div></span><div class="Xb9hP"><input type="search" class="whsOnd zHQkBf" jsname="YPqjbf" autocomplete="off" tabindex="0" aria-label="Search this site" value="" aria-disabled="false" autofocus role="combobox" data-initial-value=""/><div jsname="LwH6nd" class="ndJi5d snByac" aria-hidden="true">Search this site</div></div><span jsslot class="A37UZe sxyYjd MQL3Ob"><div role="button" class="U26fgb mUbCce fKz7Od Kk06A M9Bg4d" jscontroller="VXdfxd" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;touchstart:p6p2H; touchmove:FwuNnf; touchend:yfqBxc(preventDefault=true); touchcancel:JMtRjd;" jsshadow jsname="pZn8Oc" aria-label="Clear search" aria-disabled="false" tabindex="0" data-tooltip="Clear search" data-tooltip-vertical-offset="-12" data-tooltip-horizontal-offset="0"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -12px"><svg class="fAUEUd" viewBox="0 0 24 24" focusable="false"><path d="M19 6.41L17.59 5 12 10.59 6.41 5 5 6.41 10.59 12 5 17.59 6.41 19 12 13.41 17.59 19 19 17.59 13.41 12z"></path><path d="M0 0h24v24H0z" fill="none"></path></svg></span></span></div></span><div class="i9lrp mIZh1c"></div><div jsname="XmnwAc" class="OabDMe cXrdqd"></div></div></div><div class="LXRPh"><div jsname="ty6ygf" class="ovnfwe Is7Fhb"></div></div></div></div></div></div></div><div jsname="tiN4bf"><style nonce="zAiHsYv6K5rSIb5IkIaGJQ">.rrJNTc{opacity: 0;}.bKy5e{pointer-events: none; position: absolute; top: 0;}</style><div class="bKy5e"><div class="rrJNTc" tabindex="-1"><div class="VfPpkd-dgl2Hf-ppHlrf-sM5MNb" data-is-touch-wrapper='true'><button class="VfPpkd-LgbsSe VfPpkd-LgbsSe-OWXEXe-dgl2Hf LjDxcd XhPA0b LQeN7 WsSUlf jz7fPb" jscontroller="soHxf" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; touchstart:p6p2H; touchmove:FwuNnf; touchend:yfqBxc; touchcancel:JMtRjd; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;mlnRJb:fLiPzd;" data-idom-class="LjDxcd XhPA0b LQeN7 WsSUlf jz7fPb" jsname="z2EeY" tabindex="0"><div class="VfPpkd-Jh9lGc"></div><div class="VfPpkd-J1Ukfc-LhBDec"></div><div class="VfPpkd-RLmnJb"></div><span jsname="V67aGc" class="VfPpkd-vQzf8d">Skip to main content</span></button></div><div class="VfPpkd-dgl2Hf-ppHlrf-sM5MNb" data-is-touch-wrapper='true'><button class="VfPpkd-LgbsSe VfPpkd-LgbsSe-OWXEXe-dgl2Hf LjDxcd XhPA0b LQeN7 WsSUlf br90J" jscontroller="soHxf" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; touchstart:p6p2H; touchmove:FwuNnf; touchend:yfqBxc; touchcancel:JMtRjd; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;mlnRJb:fLiPzd;" data-idom-class="LjDxcd XhPA0b LQeN7 WsSUlf br90J" jsname="ilzYPe" tabindex="0"><div class="VfPpkd-Jh9lGc"></div><div class="VfPpkd-J1Ukfc-LhBDec"></div><div class="VfPpkd-RLmnJb"></div><span jsname="V67aGc" class="VfPpkd-vQzf8d">Skip to navigation</span></button></div></div></div><div class="M63kCb N63NQ"></div><div class="QZ3zWd"><div class="fktJzd AKpWA fOU46b yMcSQd Ly6Unf G9Qloe XeSM4 XxIgdb" jsname="UzWXSb" data-uses-custom-theme="false" data-legacy-theme-name="Vision" data-legacy-theme-font-kit="Bold" data-legacy-theme-color-kit="MediumVioletRed" jscontroller="Md9ENb" jsaction="gsiSmd:Ffcznf;yj5fUd:cpPetb;HNXL3:q0Vyke;e2SXKd:IPDu5e;BdXpgd:nhk7K;rcuQ6b:WYd;"><header id="atIdViewHeader"><div class="BbxBP HP6J1d K5Zlne" jsname="WA9qLc" jscontroller="RQOkef" jsaction="rcuQ6b:JdcaS;MxH79b:JdcaS;VbOlFf:ywL4Jf;FaOgy:ywL4Jf; keydown:Hq2uPe; wheel:Ut4Ahc;" data-top-navigation="true" data-is-preview="false"><div class="DXsoRd YTv4We oNsfjf" role="button" tabindex="0" jsaction="click:LUvzV" jsname="z4Tpl" id="s9iPrd" aria-haspopup="true" aria-controls="yuynLe" aria-expanded="false"><svg class="wFCWne" viewBox="0 0 24 24" stroke="currentColor" jsname="B1n9ub" focusable="false"><g transform="translate(12,12)"><path class="hlJH0" d="M-9 -5 L9 -5" fill="none" stroke-width="2"/><path class="HBu6N" d="M-9 0 L9 0" fill="none" stroke-width="2"/><path class="cLAGQe" d="M-9 5 L9 5" fill="none" stroke-width="2"/></g></svg></div><nav class="JzO0Vc" jsname="ihoMLd" role="navigation" tabindex="-1" id="yuynLe" jsaction="transitionend:UD2r5"><a class="Zjiec oNsfjf" href="/view/cse--2020/home"><span>CSE</span></a><ul class="jYxBte Fpy8Db" tabindex="-1"><li jsname="ibnC6b" data-nav-level="1"><div class="PsKE7e r8s4j-R6PoUb IKA38e baH5ib oNsfjf"><div class="I35ICb" jsaction="keydown:mPuKz(QwLHlb); click:vHQTA(QwLHlb);"><a class="aJHbb dk90Ob hDrhEe HlqNPb" jsname="QwLHlb" role="link" tabindex="0" data-navtype="1" href="/view/cse--2020/home" data-url="/view/cse--2020/home" data-type="1" data-level="1">Home</a></div></div></li><li jsname="ibnC6b" data-nav-level="1"><div class="PsKE7e r8s4j-R6PoUb IKA38e baH5ib oNsfjf"><div class="I35ICb" jsaction="keydown:mPuKz(QwLHlb); click:vHQTA(QwLHlb);"><a class="aJHbb dk90Ob hDrhEe HlqNPb" jsname="QwLHlb" role="link" tabindex="0" data-navtype="1" href="/view/cse--2020/program-committee" data-url="/view/cse--2020/program-committee" data-type="1" data-level="1">Program Committee</a></div></div></li><li jsname="ibnC6b" data-nav-level="1"><div class="PsKE7e r8s4j-R6PoUb IKA38e baH5ib oNsfjf lhZOrc" aria-current="true"><div class="I35ICb" jsaction="keydown:mPuKz(QwLHlb); click:vHQTA(QwLHlb);"><a class="aJHbb dk90Ob hDrhEe HlqNPb" jsname="QwLHlb" role="link" tabindex="0" data-navtype="1" aria-selected="true" href="/view/cse--2020/accepted-papers" data-url="/view/cse--2020/accepted-papers" data-type="1" data-level="1">Accepted Papers</a></div></div></li><li jsname="ibnC6b" data-nav-level="1"><div class="PsKE7e r8s4j-R6PoUb IKA38e baH5ib oNsfjf"><div class="I35ICb" jsaction="keydown:mPuKz(QwLHlb); click:vHQTA(QwLHlb);"><a class="aJHbb dk90Ob hDrhEe HlqNPb" jsname="QwLHlb" role="link" tabindex="0" data-navtype="1" href="/view/cse--2020/contact-us" data-url="/view/cse--2020/contact-us" data-type="1" data-level="1">Contact Us</a></div></div></li><li jsname="ibnC6b" data-nav-level="1"><div class="PsKE7e r8s4j-R6PoUb IKA38e baH5ib oNsfjf"><div class="I35ICb" jsaction="keydown:mPuKz(QwLHlb); click:vHQTA(QwLHlb);"><a class="aJHbb dk90Ob hDrhEe HlqNPb" jsname="QwLHlb" role="link" tabindex="0" data-navtype="1" href="/view/cse--2020/venue" data-url="/view/cse--2020/venue" data-type="1" data-level="1">Venue</a></div></div></li></ul></nav><div class="VLoccc K5Zlne QDWEj U8eYrb" jsname="rtFGi"><div class="Pvc6xe"><div jsname="I8J07e" class="TlfmSc YSH9J"><a class="GAuSPc" jsname="jIujaf" href="/view/cse--2020/home"><span class="QTKDff">CSE</span></a></div><nav class="plFg0c" jscontroller="HXO1uc" jsaction="rcuQ6b:rcuQ6b;MxH79b:CfS0pe;" id="WDxLfe" data-is-preview="false" style="visibility: hidden;" role="navigation" tabindex="-1"><ul jsname="waIgnc" class="K1Ci7d oXBWEc jYxBte"><li jsname="ibnC6b" data-nav-level="1" class="VsJjtf"><div class="PsKE7e qV4dIc Qrrb5 YSH9J"><div class="I35ICb" jsaction="click:vHQTA(QwLHlb); keydown:mPuKz(QwLHlb);"><a class="aJHbb dk90Ob jgXgSe HlqNPb" jscontroller="yUHiM" jsaction="rcuQ6b:WYd;" jsname="QwLHlb" role="link" tabindex="0" data-navtype="1" href="/view/cse--2020/home" data-url="/view/cse--2020/home" data-type="1" data-level="1">Home</a></div></div><div class="rgLkl"></div></li><li jsname="ibnC6b" data-nav-level="1" class="VsJjtf"><div class="PsKE7e qV4dIc Qrrb5 YSH9J"><div class="I35ICb" jsaction="click:vHQTA(QwLHlb); keydown:mPuKz(QwLHlb);"><a class="aJHbb dk90Ob jgXgSe HlqNPb" jscontroller="yUHiM" jsaction="rcuQ6b:WYd;" jsname="QwLHlb" role="link" tabindex="0" data-navtype="1" href="/view/cse--2020/program-committee" data-url="/view/cse--2020/program-committee" data-type="1" data-level="1">Program Committee</a></div></div><div class="rgLkl"></div></li><li jsname="ibnC6b" data-nav-level="1" class="VsJjtf"><div class="PsKE7e qV4dIc Qrrb5 YSH9J M9vuGd" aria-current="true"><div class="I35ICb" jsaction="click:vHQTA(QwLHlb); keydown:mPuKz(QwLHlb);"><a class="aJHbb dk90Ob jgXgSe HlqNPb" jscontroller="yUHiM" jsaction="rcuQ6b:WYd;" jsname="QwLHlb" role="link" tabindex="0" data-navtype="1" aria-selected="true" href="/view/cse--2020/accepted-papers" data-url="/view/cse--2020/accepted-papers" data-type="1" data-level="1">Accepted Papers</a></div></div><div class="rgLkl"></div></li><li jsname="ibnC6b" data-nav-level="1" class="VsJjtf"><div class="PsKE7e qV4dIc Qrrb5 YSH9J"><div class="I35ICb" jsaction="click:vHQTA(QwLHlb); keydown:mPuKz(QwLHlb);"><a class="aJHbb dk90Ob jgXgSe HlqNPb" jscontroller="yUHiM" jsaction="rcuQ6b:WYd;" jsname="QwLHlb" role="link" tabindex="0" data-navtype="1" href="/view/cse--2020/contact-us" data-url="/view/cse--2020/contact-us" data-type="1" data-level="1">Contact Us</a></div></div><div class="rgLkl"></div></li><li jsname="ibnC6b" data-nav-level="1" class="VsJjtf"><div class="PsKE7e qV4dIc Qrrb5 YSH9J"><div class="I35ICb" jsaction="click:vHQTA(QwLHlb); keydown:mPuKz(QwLHlb);"><a class="aJHbb dk90Ob jgXgSe HlqNPb" jscontroller="yUHiM" jsaction="rcuQ6b:WYd;" jsname="QwLHlb" role="link" tabindex="0" data-navtype="1" href="/view/cse--2020/venue" data-url="/view/cse--2020/venue" data-type="1" data-level="1">Venue</a></div></div><div class="rgLkl"></div></li><li jsname="ibnC6b" data-nav-level="1" class="VsJjtf ZmrVpf oXBWEc" more-menu-item jsaction="mouseenter:Vx8Jlb; mouseleave:ysDRUd"><div class="PsKE7e qV4dIc Qrrb5 YSH9J"><div class="I35ICb" jsaction="click:vHQTA(QwLHlb); keydown:mPuKz(QwLHlb);"><a class="aJHbb dk90Ob jgXgSe HlqNPb" jscontroller="yUHiM" jsaction="rcuQ6b:WYd;" jsname="QwLHlb" role="link" tabindex="0" data-navtype="1" aria-expanded="false" aria-haspopup="true" data-level="1">More</a><div class="mBHtvb u5fiyc" role="presentation" title="Expand/Collapse" jsaction="click:oESVTe" jsname="ix0Hvc"><svg class="dvmRw" viewBox="0 0 24 24" stroke="currentColor" jsname="HIH2V" focusable="false"><g transform="translate(9.7,12) rotate(45)"><path class="K4B8Y" d="M-4.2 0 L4.2 0" stroke-width="2"/></g><g transform="translate(14.3,12) rotate(-45)"><path class="MrYMx" d="M-4.2 0 L4.2 0" stroke-width="2"/></g></svg></div></div></div><div class="oGuwee eWDljc RPRy1e Mkt3Tc" style="display:none;" jsname="QXE97" jsaction="transitionend:SJBdh" role="group"><ul class="VcS63b"><li jsname="ibnC6b" data-nav-level="2" class="ijMPi ZmrVpf" in-more-item><div class="PsKE7e IKA38e oNsfjf"><div class="I35ICb" jsaction="click:vHQTA(QwLHlb); keydown:mPuKz(QwLHlb);"><a class="aJHbb hDrhEe HlqNPb" jscontroller="yUHiM" jsaction="rcuQ6b:WYd;" jsname="QwLHlb" role="link" tabindex="0" data-navtype="1" href="/view/cse--2020/home" data-url="/view/cse--2020/home" data-type="1" data-in-more-submenu="true" data-level="2">Home</a></div></div></li><li jsname="ibnC6b" data-nav-level="2" class="ijMPi ZmrVpf" in-more-item><div class="PsKE7e IKA38e oNsfjf"><div class="I35ICb" jsaction="click:vHQTA(QwLHlb); keydown:mPuKz(QwLHlb);"><a class="aJHbb hDrhEe HlqNPb" jscontroller="yUHiM" jsaction="rcuQ6b:WYd;" jsname="QwLHlb" role="link" tabindex="0" data-navtype="1" href="/view/cse--2020/program-committee" data-url="/view/cse--2020/program-committee" data-type="1" data-in-more-submenu="true" data-level="2">Program Committee</a></div></div></li><li jsname="ibnC6b" data-nav-level="2" class="ijMPi ZmrVpf" in-more-item><div class="PsKE7e IKA38e oNsfjf lhZOrc" aria-current="true"><div class="I35ICb" jsaction="click:vHQTA(QwLHlb); keydown:mPuKz(QwLHlb);"><a class="aJHbb hDrhEe HlqNPb" jscontroller="yUHiM" jsaction="rcuQ6b:WYd;" jsname="QwLHlb" role="link" tabindex="0" data-navtype="1" aria-selected="true" href="/view/cse--2020/accepted-papers" data-url="/view/cse--2020/accepted-papers" data-type="1" data-in-more-submenu="true" data-level="2">Accepted Papers</a></div></div></li><li jsname="ibnC6b" data-nav-level="2" class="ijMPi ZmrVpf" in-more-item><div class="PsKE7e IKA38e oNsfjf"><div class="I35ICb" jsaction="click:vHQTA(QwLHlb); keydown:mPuKz(QwLHlb);"><a class="aJHbb hDrhEe HlqNPb" jscontroller="yUHiM" jsaction="rcuQ6b:WYd;" jsname="QwLHlb" role="link" tabindex="0" data-navtype="1" href="/view/cse--2020/contact-us" data-url="/view/cse--2020/contact-us" data-type="1" data-in-more-submenu="true" data-level="2">Contact Us</a></div></div></li><li jsname="ibnC6b" data-nav-level="2" class="ijMPi ZmrVpf" in-more-item><div class="PsKE7e IKA38e oNsfjf"><div class="I35ICb" jsaction="click:vHQTA(QwLHlb); keydown:mPuKz(QwLHlb);"><a class="aJHbb hDrhEe HlqNPb" jscontroller="yUHiM" jsaction="rcuQ6b:WYd;" jsname="QwLHlb" role="link" tabindex="0" data-navtype="1" href="/view/cse--2020/venue" data-url="/view/cse--2020/venue" data-type="1" data-in-more-submenu="true" data-level="2">Venue</a></div></div></li></ul></div></li></ul></nav><div jscontroller="gK4msf" class="RBEWZc" jsname="h04Zod" jsaction="rcuQ6b:WYd;JIbuQc:AT95Ub;VbOlFf:HgE5D;FaOgy:HgE5D;MxH79b:JdcaS;" data-side-navigation="false"><div role="button" class="U26fgb mUbCce fKz7Od iWs3gf Wdnjke M9Bg4d" jscontroller="VXdfxd" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;touchstart:p6p2H; touchmove:FwuNnf; touchend:yfqBxc(preventDefault=true); touchcancel:JMtRjd;" jsshadow jsname="R9oOZd" aria-label="Open search bar" aria-disabled="false" tabindex="0" data-tooltip="Open search bar" aria-expanded="false" data-tooltip-vertical-offset="-12" data-tooltip-horizontal-offset="0"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -12px"><svg class="vu8Pwe tCHXDc YSH9J" viewBox="0 0 24 24" focusable="false"><path d="M15.5 14h-.79l-.28-.27C15.41 12.59 16 11.11 16 9.5 16 5.91 13.09 3 9.5 3S3 5.91 3 9.5 5.91 16 9.5 16c1.61 0 3.09-.59 4.23-1.57l.27.28v.79l5 4.99L20.49 19l-4.99-5zm-6 0C7.01 14 5 11.99 5 9.5S7.01 5 9.5 5 14 7.01 14 9.5 11.99 14 9.5 14z"/><path d="M0 0h24v24H0z" fill="none"/></svg></span></span></div></div></div><div jsname="mADGA" class="zDUgLc"></div></div><div class="TxnWlb" jsname="BDdyze" jsaction="click:LUvzV"></div></div></header><div role="main" tabindex="-1" class="UtePc RCETm" dir="ltr"><section id="h.244e612e45e2ef32_6" class="yaqOZd LB7kq cJgDec nyKByd O13XJf KEFykf" style=""><div class="Nu95r"><div class="IFuOkc" style="background-size: cover; background-position: center center; background-image: url(https://lh4.googleusercontent.com/qaZYPFG_MaiUMyUInTiw6bvp1idF0QVnwvdZ6E2XYHF-kmbgXeENOM8IN9RGppnWIr3jT4bZnPxVKllKsF1bFtQ=w16383);" jsname="LQX2Vd"></div></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.244e612e45e2ef32_9" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe lkHyyc"><h2 id="h.wx9ok8mcsija" dir="ltr" class="CDt4Ke zfr3Q JYVBee" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-top: 0; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: center;"><span class=" jgG6ef" style="font-family: Times New Roman; font-weight: normal; vertical-align: baseline;">Welcome to CSE 2020</span></h2><h2 id="h.5wcot0m9c69r" dir="ltr" class="CDt4Ke zfr3Q JYVBee" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-top: 11pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: center;"><span class=" jgG6ef" style="color: #ffffff; font-family: Times New Roman; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">8</span><sup style="color: #ffffff; font-family: Times New Roman; font-size: 10.799999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">th</sup><span class=" jgG6ef" style="color: #ffffff; font-family: Times New Roman; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;"> International Conference on Computational Science and Engineering (CSE 2020)</span></h2><h2 id="h.gd9fylnrf7qf" dir="ltr" class="CDt4Ke zfr3Q JYVBee" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 19pt; margin-top: 19pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: center;"><span class=" jgG6ef" style="font-family: Times New Roman; font-weight: normal; vertical-align: baseline;">December 12~13, 2020, Dubai, UAE</span></h2></div></div></div></div></div></div></div></div></div><div class="DnLU4" jsaction="JIbuQc:v5IJLd(ipHvib);"><div role="button" class="U26fgb mUbCce fKz7Od HqAAld Wew9ke M9Bg4d" jscontroller="VXdfxd" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;touchstart:p6p2H; touchmove:FwuNnf; touchend:yfqBxc(preventDefault=true); touchcancel:JMtRjd;" jsshadow jsname="ipHvib" aria-label="Scroll down" aria-disabled="false" tabindex="0"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -12px"><svg class="XE8yyf" viewBox="0 0 24 24" focusable="false"><path d="M7.41 7.84L12 12.42l4.59-4.58L18 9.25l-6 6-6-6z"/><path d="M0-.75h24v24H0z" fill="none"/></svg></span></span></div></div></section><section id="h.1add166e348094b8_22" class="yaqOZd" style=""><div class="IFuOkc"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.1add166e348094b8_35" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb"><div class="jXK9ad-SmKAyb"><div class="tyJCtd baZpAe"><div class="t3iYD"><img src="https://lh6.googleusercontent.com/8Srwvcj_ISXgpft6zUkv48NhutCFXxdGr2BUgbmvS-m5y64_5kFc_AwlbPnA7JMgF69z7bDf5N2R_xpCQjOthiLv9PVprZGSlQieqnFWNo4Sys7jfJ2VxxY-fhKH3IQ2HQ=w1280" class="CENy8b" role="img"></div></div></div></div></div></div></div></div></div></div></section><section id="h.1add166e348094b8_34" class="yaqOZd" style=""><div class="IFuOkc"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.1add166e348094b8_31" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe"><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>A Study into Math Document Classification using Deep Learning</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 11pt; margin-left: 0; margin-right: 0; margin-top: 11pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Fatimah Alshamari and Abdou Youssef, Department of Computer Science, The George Washington University, Washington, D.C, USA</span></p><p id="h.dhiump4iu91" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Document classification is a fundamental task for many applications, including document annotation, document understanding, and knowledge discovery. This is especially true in STEM fields where the growth rate of scientific publications is exponential, and where the need for document processing and understanding is essential to technological advancement. Classifying a new publication into a specific domain based on the content of the document is an expensive process in terms of cost and time. Therefore, there is a high demand for a reliable document classification system. In this paper, we focus on classification of mathematics documents, which consist of English text and mathematics formulas and symbols. The paper addresses two key questions. The first question is whether math-document classification performance is impacted by math expressions and symbols, either alone or in conjunction with the text contents of documents. Our investigations show that Text-Only embedding produces better classification results. The second question we address is the optimization of a deep learning (DL) model, the LSTM combined with one dimension CNN, for math document classification. We examine the model with several input representations, key design parameters and decision choices, and choices of the best input representation for math documents classification.</span></p><p id="h.c8qmu4719yob" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Math, document, classification, deep learning, LSTM</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 0; margin-left: 0; margin-right: 0; margin-top: 0; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><br></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>Proposed Model for Enhancing Retrieving Process in Big Data Management</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 11pt; margin-left: 0; margin-right: 0; margin-top: 11pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Ayman E. Khedr</span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, Mohamed Attia Mohamed</span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, Abdulwahab Ali Almazroi</span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">3</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, </span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">University of Jeddah, College of Computing and Information Technology at Khulais, Department of Information Systems, Jeddah, Saudi Arabia, </span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Future University in Egypt, Egypt, </span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">3</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">University of Jeddah, College of Computing and Information Technology at Khulais, Department of Information Technology, Jeddah, Saudi Arabia</span></p><p id="h.y5zp7zy7s27g" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Nowadays, operations of the Internet have a significant growth and size of data is increasing every second. Most of organizations and individuals were unaware of such data explosion because quantity of data is continuously increasing. Consequently, managing and controlling tools and methodologies of big data become critical aspect. One of the big issues that needed to be tackled when working with big data is how to manage data effectively. To address this issue, there are two main research directions exist. The first one is using big data frameworks like Hive and pig Latin while the other one is employing NoSQL data models like key-value, graph, column and document stores. In addition, unprecedented data volume and the complexity of managing data across complex multi- infrastructure only further exacerbate the problems. This paper reviews different representative techniques that treat with big data management challenges and finally, proposed a model for handling such issues.</span></p><p id="h.ar6y9z93twq" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Big data, NoSQL, Machine learning, JackHare, Hive</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 0; margin-left: 0; margin-right: 0; margin-top: 0; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><br></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>Experiments on Nl2Sql Using Sqlova, Tabert and Lookahead Optimizer</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 11pt; margin-left: 0; margin-right: 0; margin-top: 11pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Shubham V Chaudhari and Kameshwar Rao JV, HCL Technologies LTD, India</span></p><p id="h.2n2giklqfbkk" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">With the advancement of deep learning in NLP there has been keen interest to convert natural language to SQL across academics and industry. Various models have been developed to address this problem which employ techniques like reinforcement learning, seq-to-seq, seq-to-set etc. We present an approach, where TaBERT and SQLOVA [2] are combined. TaBERT[1] trained on structured text improves over traditional BERT[3] thus better enhancing the features of the input query and headers. NL2SQL layer of the SQLOVA connected at the top of TaBERT which further encodes the query and headers further enhancing the features. The choice of optimizer plays a key role in improving the model’s results. This proposed architecture with lookahead optimizer[4] surpasses the accuracy of where-num, where-col and where-cond by 0.2%,0.5%,0.4% respectively.</span></p><p id="h.xg3xxpsaj24u" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">nl2sql, deep neural networks, NLP</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 0; margin-left: 0; margin-right: 0; margin-top: 0; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><br></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>Blockchain-based Ticketing Solution for Collegiate Athletics</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 11pt; margin-left: 0; margin-right: 0; margin-top: 11pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Zaki Zahed</span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, Matt Fitzgerald</span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, Ronald Sayles</span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">3</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, </span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">IT Engineering Department, Saudi Aramco, Dhahran, Saudi Arabia, </span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">TCP program, University of Colorado at Boulder, Boulder, Colorado, USA, </span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">3</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">TCP program, University of Colorado at Boulder, Boulder, Colorado, USA</span></p><p id="h.9y5qxacwgvlr" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">This paper proposes an ecosystem for Blockchain-Based Ticketing Solution for Collegiate Athletics. Utilizing technologies such as digital ledgers paired with cryptography, this paper constructs a theoretical implementation of secure digital ticketing. Four components essential to operation are identified as: issuer, user, verifier and DID (Decentralized Identifiers). The proposed solution begins with an authenticated University user. Said user must grant the ticketing website access to the user's assigned University identifier through QR code/login. This initial handshake is signed with private keys of both the University and user which is confirmed by the ticketing website. A digital ticket to the event, signed with the website's private key, is then released to the user via smart contract. The smart contract is then stored by the ticketing website into the blockchain. Upon arrival at the event the user presents the digital ticket (QR code) signed by the website and user's private keys. By doing so, proof of identity through authenticated University identifier is confirmed while simultaneously executes the aforementioned smart contract. Once the ticket and respective signatures are verified through the University's QR code scanner, the user is granted access into the event and the ticket can no longer be reused/resold.</span></p><p id="h.ngj9kxrhudj5" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Blockchain, Digital Identity, Digital Ticketing, Collegiate Athletics</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 0; margin-left: 0; margin-right: 0; margin-top: 0; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><br></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>Genetic Algorithm for Exam Timetabling Problem-a Specific Case for Japanese University Final Presentation Timetabling</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 11pt; margin-left: 0; margin-right: 0; margin-top: 11pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Jiawei LI and Tad Gonsalves, Department of Information & Communication Sciences. Faculty of Science and Technology, Sophia University, Tokyo, Japan</span></p><p id="h.3nefly6akt6u" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">This paper presents a Genetic Algorithm approach to solve a specific examination timetabling problem which is common in Japanese Universities. The model is programmed in Excel VBA programming language, which could be run on the Microsoft Office Excel worksheets directly. The model uses direct chromosome representation. To satisfy hard and soft constraints, constraint-based initialization operation, constraint-based crossover operation and penalty points system are implemented. To further improve the result quality of the algorithm, this paper designed an improvement called initial population pre-training. The proposed model was tested by the real data from Sophia University, Tokyo, Japan. The model shows acceptable results and the comparison results prove that the initial population pre-training approach can improve the result quality.</span></p><p id="h.coaffjy0ait6" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Examination timetabling problem, Excel VBA, Direct chromosome representation, Genetic Algorithm Improvement</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 0; margin-left: 0; margin-right: 0; margin-top: 0; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><br></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>Real-time Emotion based Virtual Assistant</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 11pt; margin-left: 0; margin-right: 0; margin-top: 11pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">M.M.A Safnaj, E.A.S.Ahamed, B.K.S Geethmi, M.G.A.U Jayasooriya and Samantha Rajapaksha, Department of Information Technology, Sri Lanka Institute of Information Technology, New Kandy Road, Malabe, Sri Lanka</span></p><p id="h.z9vp2b7okxs2" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">The objective of this project is to automate the interaction with the users and a virtual assistant application on smartphones by reading the user’s emotion in real-time. Human emotions play a major role in people’s day-to-day life. Therefore, understanding the human emotional state of the user enables efficient human-computer interaction and leads to build emotion aware applications. The existing virtual assistant applications such as Apple’s Siri, Google Assistant & Amazons’ Alexa are capable of performing some tasks based on users’ verbal inputs. Today’s advancement in technology has allowed various technologies such as Machine Learning & Artificial Intelligence to make ordinary applications to smarter. The application results from testing the live captured images and detect emotions using the Machine Learning Model which has been built with the Convolutional Neural Network to help to achieve a high accuracy rate to provide suggestions to the user based on the user’s current emotional state. Also, the solution has focused on content-based recommendation and user behavior analysis to provide more appropriate suggestions and tasks to the user to enhance more user experience. While this approach increases efficiency and user experience in the field of Virtual Assistants, our solution differs from other platforms being with having a privacy-based emotion recognition API which doesn’t require store user’s emotional pictures for the prediction purpose.</span></p><p id="h.c9qjc2l6s59z" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Real-Time Emotion Detection, Content-Based Recommendations, User Behaviour Analysis, Virtual Assistant.</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 0; margin-left: 0; margin-right: 0; margin-top: 0; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><br></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>Blockchain-based Distributed Data Integrity Auditing Scheme</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 11pt; margin-left: 0; margin-right: 0; margin-top: 11pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Hui Li, Baofu Han and Chuansi Wei, School of Information Science and Engineering, Shenyang University of Technology, Liao Ning, China</span></p><p id="h.iq30s5sao043" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Cloud storage technology enables users to outsource local data to cloud service provider (CSP). In spite of its copious advantages, how to ensure the integrity of data has always been a significant issue.A variety of provable data possession (PDP) scheme have been proposed for cloud storage scenarios. However, the participation of centralized trusted third-party auditor (TPA) in most of the previous work has brought new security risks, because the TPA is prone to the single point of failure. Furthermore, the existing schemes do not consider the fair arbitration and lack an effective method to punish the malicious behaviour. To address the above challenges, we propose a novel blockchain-based decentralized data integrity auditing scheme without the need for a centralized TPA. By using smart contract technique, our scheme supports automatic compensation mechanism. DO and CSP must first pay a certain amount of ether for the smart contract as deposit. The CSP gets the corresponding storage fee if the integrity auditing is passed. Otherwise, the CSP not only gets no fee but has to compensate DO whose data integrity is destroyed. Security analysis shows that the proposed scheme can resist a variety of attacks. Also, we implement our scheme on the platform of Ethereum to demonstrate the efficiency and effectiveness of our scheme.</span></p><p id="h.iuyp1584ntq7" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Data integrity, Fair arbitration, Blockchain, Decentralization, Public auditing.</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 0; margin-left: 0; margin-right: 0; margin-top: 0; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><br></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>Geothermal Energy for Refrigeration and Air Conditioning, Sustainable Development, and the Environment</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 11pt; margin-left: 0; margin-right: 0; margin-top: 11pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">A.M. Omer* , Energy Research Institute (ERI), Nottingham NG7 4EU, United Kingdom</span></p><p id="h.q1mzg53xai8i" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Geothermal heat pumps (GSHPs), or direct expansion (DX) ground source heat pumps, are a highly efficient renewable energy technology, which uses the earth, groundwater or surface water as a heat source when operating in heating mode or as a heat sink when operating in a cooling mode. It is receiving increasing interest because of its potential to decrease primary energy consumption and thus reduce emissions of the greenhouse gases (GHGs). The main concept of this technology is that it uses the lower temperature of the ground (approximately lessthan 32°C), which remains relatively stable throughout the year, to provide space heating, cooling and domestic hot water inside the building area. The main goal of this study was to stimulate the uptake of the GSHPs. Recent attempts to stimulate alternative energy sources for heating and cooling of buildings have emphasised the utilisation of the ambient energy from ground source and other renewable energy sources. The purpose of this study, however, was to examine the means of reducing of energy consumption in buildings, identifying GSHPs as an environmental friendly technology able to provide efficient utilisation of energy in the buildings sector, promoting the use of GSHPs applications as an optimum means of heating and cooling, and presenting typical applications and recent advances of the DX GSHPs. The study highlighted the potential energy saving that could be achieved through the use of ground energy sources. It also focused on the optimisation and improvement of the operation conditions of the heat cycle and performance of the DX GSHP. It is concluded that the direct expansion of the GSHP, combined with the ground heat exchanger in foundation piles and the seasonal thermal energy storage from solar thermal collectors, is extendable to more comprehensive applications.</span></p><p id="h.pheew397nrnf" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Geothermal heat pumps, direct expansion, ground heat exchanger, heating and cooling</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 0; margin-left: 0; margin-right: 0; margin-top: 0; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><br></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>Digital Wireless Mini Plant Temperature Sensor</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 11pt; margin-left: 0; margin-right: 0; margin-top: 11pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Grishin Alexander, Grishin Andrey, Semenova Natalia, Grishin Vladimir and Dorokhov Alexey, Federal Scientific Agroengineering Centre VIM, Ryazan Avenue, Moscow, Russia</span></p><p id="h.v734yugru7i9" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Sensors occupy a special place among the elemental base of digital agricultural technologies in order to obtain primary information about the physiological status of plants. The authors developed and practically tested a wireless mini-sheet sensor for digital assessment of thermoregulatory processes characterizing plant productivity factors. The developed sensor has scientific and practical value, which is confirmed by the experimental verification. The existence of a cooperative (synergetic) relationship, which usually characterizes the self-organization process, between the order parameter — the heating of the leaves under the influence of thermal exergy and the control parameter — the cooling thermoregulation, was proved. It has been established that the thermoregulation process, while reducing the limiting factors influence, favourably effects on plant productivity, and the time series fractal dimension of thermoregulation can be used as a plant production processes indicator. The efficiency of thermoregulation sensor using to analyse plant moisture losses has been theoretically and practically proved, based on the data obtained, the ability to regulate the nutrient solution supply. It allows us to recommend the use of the sensor in closed artificial agroecosystems. The data obtained from the sensor can be used both for regulating irrigation and drainage regimes and for scientific researches.</span></p><p id="h.wyhsw6eic3ab" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Digital Technologies, Leaf Sensor, Plant Productivity, Thermoregulation, Closed Artificial Agroecosystems.</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 0; margin-left: 0; margin-right: 0; margin-top: 0; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><br></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>How to Engage Followers: Classifying Fashion Brands According to their Instagram Profiles, Posts and Comments</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 11pt; margin-left: 0; margin-right: 0; margin-top: 11pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Stefanie Scholz</span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;"> and Christian Winkler</span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, </span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Department ofSocial Economy, WilhemLoehe University of Applied Sciences, Fuerth, Germany, </span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Christian Winkler, datanizing GmbH, Schwarzenbruck, Germany</span></p><p id="h.vhxwglu751pn" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">In this article we show how fashion brands communicate with their follower on Instagram. We use a continuously update dataset of 68 brands, more than 300,000 posts and more than 40,000,000 comments. Starting with descriptive statistics, we uncover different behavior and success of the various brands. It turns out that there are patterns specific to luxury, mass-market and sportswear brands. Posting volume is extremely brand dependent as is the number of comments and the engagement of the community.Having understood the statistics, we turn to machine learning techniques to measure the response of the community via comments. Topic models help us understand the structure of their respective community and uncover insights regarding the response to campaigns.Having up-to-date content is essential for this kind of analysis, as the market is highly volatile. Furthermore, automatic data analysis is crucial to measure the success of campaigns and adjust them accordingly for maximum effect.</span></p><p id="h.trdqcyhxyei" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Instagram, Fashion Brands, Data Extraction, Marketing, Analysis, Artificial Intelligence, Netnography, Descriptive Statistics, Visualization, Community Engagement, Artificial Intelligence, Unsupervised Learning, Topic Modelling.</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 0; margin-left: 0; margin-right: 0; margin-top: 0; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><br></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>A Research on Client-side-based Web Attack Response using Ensemble Model</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 11pt; margin-left: 0; margin-right: 0; margin-top: 11pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Hyeongmin Kim</span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, Suhyeon Oh</span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, Yerin Im</span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, Hyeonseong Jeong</span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, Jiwon Hong</span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, Jaehyeon Cho</span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, Hyeonmin Kim</span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, Kyounggon Kim</span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">3</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, </span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Best of the Best, Korea Information Technology Research Institute </span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Financial Security Institute, </span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">3</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Naif Arab University for Security Sciences</span></p><p id="h.p86kr7t704r8" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Pattern detection method, which is the existing web attack response method, has a high possibility of bypassing patterns and is less likely to respond to new attacks if JavaScript and others are updated. To improve this, this paper presents how to respond to client side-based web attacks by utilizing ensemble techniques of Random Forest, Deep Neural Network (DNN), and Convolutional Neural Network (CNN) models. By analyzing features that frequently appear in the exploit kit, we were able to extract features and obtain models with 99.33% (Random Forest), 99.64% (DNN) and 99.88% (CNN) accuracy through learning and testing. We propose various utilization methods to utilize the ensemble techniques of these models to provide users with a safe browsing environment.</span></p><p id="h.ej1vr03d7a34" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">AI, Machine Learning, Deep Learning, Client-Side, Ensemble technique.</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 0; margin-left: 0; margin-right: 0; margin-top: 0; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><br></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>Regularization Method for Rule Reduction in Belief Rule-based System</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 11pt; margin-left: 0; margin-right: 0; margin-top: 11pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Yu Guan and Yanggeng Fu, College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China</span></p><p id="h.g8hl2uomqbvu" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Belief rule-based inference system introduces a belief distribution structure into the conventional rule-based system, which can effectively synthesize incomplete and fuzzy information. In order to optimize reasoning efficiency and reduce redundant rules, this paper proposes a rule reduction method based on regularization. This method controls the distribution of rules by setting corresponding regularization penalties in different learning steps and reduces redundant rules. This paper first proposes the use of the Gaussian membership function to optimize the structure and activation process of the belief rule base, and the corresponding regularization penalty construction method. Then, a step-by-step training method is used to set a different objective function for each step to control the distribution of belief rules, and a reduction threshold is set according to the distribution information of the belief rule base to perform rule reduction. Two experiments will be conducted based on the synthetic classification data set and the benchmark classification data set to verify the performance of the reduced belief rule base.</span></p><p id="h.nchy1ryp0wii" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Knowledge-based system, Belief rule base, Regularization method, Rule reduction.</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 0; margin-left: 0; margin-right: 0; margin-top: 0; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><br></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>Machine Learning Algorithm for Nlos Millimeter Wave in 5G V2X Communication</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 11pt; margin-left: 0; margin-right: 0; margin-top: 11pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Deepika Mohan</span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, Peter Han Joo Chong</span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;"> and G.G. Md. Nawaz</span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, </span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Department of Electrical and Electronics Engineering, Auckland University of Technology, Auckland, New Zealand, </span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Department of Applied Computer Science, University of Charleston, WV 25304, USA</span></p><p id="h.5gpq4m1dhys4" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">The 5G vehicle to everything (V2X) communication for autonomous and semi-autonomous driving utilizes the wireless technology for communication and the Millimeter Wave bands are widely implemented in this kind of vehicular network application. The main purpose of this paper is to broadcast the messages from the mmWave Base Station to vehicles at LOS (Line-of-sight) and NLOS (Non-LOS). Relay using Machine Learning (RML) algorithm is formulated to train the mmBS for identifying the blockages within its coverage area and broadcast the messages to the vehicles at NLOS using a LOS nodes as a relay. The transmission of information is faster with higher throughput and it covers a wider bandwidth which is reused, therefore when performing machine learning within the coverage area of mmBS most of the vehicles in NLOS can be benefited. A unique method of relay mechanism combined with machine learning is proposed to communicate with mobile nodes at NLOS.</span></p><p id="h.2renkeglmeb3" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">5G, Millimeter Wave, Machine Learning, Relay, V2X communication.</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 0; margin-left: 0; margin-right: 0; margin-top: 0; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><br></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>Secure Handover Protocol for 5G and Beyond Networks</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 11pt; margin-left: 0; margin-right: 0; margin-top: 11pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Vincent Omollo Nyangaresi</span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;"> and Anthony Joachim Rodriguez</span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, </span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Faculty of Biological & Physical Sciences, Tom Mboya University College, Homabay, Kenya, </span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">School of Informatics & Innovative Systems, JOOUST, Kisumu, Kenya</span></p><p id="h.iv5asxsl7nz" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Technical network challenges in 5G relates to handover authentication, user privacy protection and resource management. Due to interoperability requirements among the heterogenous networks (Hetnets), the security requirements for 5G are high compared to 2G, 3G and 4G. The current 5G handover protocols are based on either fuzzy logic (FL), artificial neural networks (ANN), blockchain, software defined network (SDN), or Multi-layer Feed Forward Network (MFNN). These protocols have either long latencies or focus on either security or quality of services parameters such as user satisfaction. The usage of these inefficient authentication schemes during 5G handovers lead to performance degradation in heterogeneous cells and increases the delay. In addition, 5G networks experience frequent handover failures and increased handover delays. Consequently, the provision of strong security, privacy and low latency handovers is required for the successful deployment of 5G networks such as wireless local area networks (5G-WLAN) heterogeneous networks. These new requirements, coupled with demands for higher scalability, reliability, security, data rates, quality of service (QoS), and support for internet of everything (IoE) have seen the shift from 5G to beyond 5G(B5G). However, 5G and B5G are incapable of providing the complete requirements of IoE such as enhanced security and QoS. This paper sought to develop an ANN-FL protocol that addressed both security and QoS in 5G and B5G networks. The simulation results showed that the developed protocol was robust against attacks such de-synchronization and tracing attacks and yielded a 27.1% increase in handover success rate, a 27.3% reduction in handover failure rate, and a 24.1% reduction in ping pong handovers.</span></p><p id="h.smh1al4vg0av" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">5G, Hetnets, authentication, ping pong rate, handover success rate, handover failure rates.</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 0; margin-left: 0; margin-right: 0; margin-top: 0; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><br></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>Medical Image Zero-Watermarking Based on Quasi-Sparse Matrix to Localize and Recover Tampered Zones</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 11pt; margin-left: 0; margin-right: 0; margin-top: 11pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Lamri LAOUAMER</span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;"> and Adel ALTI</span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">, </span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">1</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Department of Management Information Systems & Production Management College of Business & Economics, Qassim University P.O. Box 6633, Buraidah, 51452, KSA, </span><sup style="color: #000000; font-family: Times New Roman; font-size: 7.199999999999999pt; font-style: normal; font-weight: normal; text-decoration: normal;">2</sup><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">LRSD Lab, Computer Science Department, University of SETIF-1, Sétif 19000, Algeria</span></p><p id="h.owwectsh6nen" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>ABSTRACT</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Medical images exchanged through various communication networks require a very particular interest especially to secure their contents against any kind of illegitimate manipulation. These images are becoming increasingly vulnerable to attacks and presenting a serious issue in telemedicine and e-healthcare real-time applications. Data security encompasses several aspects such as tamper detection and recovery, integrity, authenticity and confidentiality. In this paper, we present a zero atermarking approach based on quasi-sparse matrix to extract the region of interest allowing detecting the tampered zones and recovering the attacked zones to their original states. The approach is based on the extraction of the quasi-sparse matrix from the host image to select only the Regions of Interests (ROI) and to define also the zero watermark. Only Least and Most Significant bits LSB and MSB attacks are applied to evaluate the efficiency of the proposed approach. This approach has less complexity since it only supports non-zero pixels, which minimizes the computation time. We detail the obtained results by using the most widespread metrics in the literature to evaluate the performance of the proposed approach.</span></p><p id="h.9llo7c944fho" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 10pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: left; text-indent: 0;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; text-decoration: normal; vertical-align: baseline;"><strong>KEYWORDS</strong></span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 14pt; margin-left: 0; margin-right: 0; margin-top: 14pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: justify; text-indent: 0; white-space: normal;"><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">medical image, Quasi-Sparse matrix, zero-watermarking, tamper detection and recovery..</span></p></div></div></div></div></div></div></div></div></div></section><section id="h.1add166e348094b8_39" class="yaqOZd lQAHbd" style=""><div class="IFuOkc"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-II5mzb Ft7HRd-AhqUyc-II5mzb purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.1add166e348094b8_36" class="hJDwNd-AhqUyc-II5mzb Ft7HRd-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe"><p id="h.9ahtoxn4qybs" dir="ltr" class="CDt4Ke zfr3Q" style="background-color: transparent; border-bottom: none; border-left: none; border-right: none; border-top: none; line-height: 1.5; margin-bottom: 2pt; margin-left: 0; margin-right: 0; margin-top: 11pt; padding-bottom: 0; padding-left: 0; padding-right: 0; padding-top: 0; text-align: center; text-indent: 0;"><span style="color: #ffffff; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Contact Us</span></p><p dir="ltr" class="CDt4Ke zfr3Q" style="line-height: 1.5; text-align: center;"><span class=" aw5Odc" style="font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: underline; vertical-align: baseline;"><a class="XqQF9c" href="mailto:cse.conference@yahoo.com" target="_blank"> cse.conference@yahoo.com </a></span></p></div></div></div></div></div></div></div><div class="hJDwNd-AhqUyc-R6PoUb Ft7HRd-AhqUyc-R6PoUb JNdkSc SQVYQc L6cTce-purZT L6cTce-pSzOP"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"></div></div></div><div class="hJDwNd-AhqUyc-OwsYgb Ft7HRd-AhqUyc-OwsYgb purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.1add166e348094b8_44" class="hJDwNd-AhqUyc-OwsYgb Ft7HRd-AhqUyc-OwsYgb jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe"><p dir="ltr" class="CDt4Ke zfr3Q" style="text-align: center;"><span class=" aw5Odc" style="font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.cseij.org%2Ftop2019%2FTopdatamining%26knowledgemanagementresearcharticlesof2019.html&sa=D&sntz=1&usg=AOvVaw3asHRM97OF7AwCVQZLkCVr" target="_blank">Top Data Mining & Knowledge Management Research articles of 2019<br></a><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fwww.cseij.org%2Ftop2019%2FTopcomputerscience%26informationtechnologyarticlesof2019.html&sa=D&sntz=1&usg=AOvVaw2QyXHSNZO-jWa0IL-XrbSJ" target="_blank">Top Computer Science & Information Technology Articles of 2019<br></a><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fijcsitj.wordpress.com%2Ftop-10-computer-science-information-technology-research-articles%2F&sa=D&sntz=1&usg=AOvVaw1-x8O8nhlY7R1AcTGAhde3" target="_blank">TOP 10 Computer Science & Information Technology Research Articles</a></span><span style="color: #000000; font-family: Times New Roman; font-size: 12pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;"> </span></p></div></div></div></div></div></div></div></div></div></section></div><div class="Xpil1b xgQ6eb"></div><footer jsname="yePe5c"><section id="h.4cd5cd146ab91922_182" class="yaqOZd cJgDec nyKByd" style=""><div class="IFuOkc" style="background-size: cover; background-position: center center; background-image: url(https://lh6.googleusercontent.com/COBrNBVUgB7z3IwH_g5gpaXqn_hDppkVkPrqn-QJ1OMeJ1F9sPoIZs7n85Xp3p2lY4hg_kPAslmZ7R-whYOK2mk=w16383);"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.4cd5cd146ab91922_179" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb JYTMs"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe"><small id="h.lruijdr5t122" dir="ltr" class="CDt4Ke zfr3Q TMjjoe" style="display: block;"><span style="color: #ffffff; font-family: Times New Roman; font-size: 13.5pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;">Copyright © CSE 2020</span><span style="color: #000000; font-family: Arial; font-size: 13.5pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;"> </span><span class=" aw5Odc" style="font-family: Times New Roman; font-size: 13.5pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;"><a class="XqQF9c" href="https://www.google.com/url?q=https%3A%2F%2Fcse2020.org%2F%23&sa=D&sntz=1&usg=AOvVaw22XBWKy7u07LvTL-SO6k2o" target="_blank">Terms & Conditions</a></span><span style="color: #000000; font-family: Times New Roman; font-size: 11pt; font-style: normal; font-weight: normal; text-decoration: normal; vertical-align: baseline;"> </span></small></div></div></div></div></div></div></div></div></div></section></footer><div jscontroller="j1RDQb" jsaction="rcuQ6b:rcuQ6b;MxH79b:JdcaS;FaOgy:XuHpsb;" class="dZA9kd ynRLnc" data-last-updated-at-time="1608356318662" data-is-preview="false"><div role="button" class="U26fgb JRtysb WzwrXb I12f0b K2mXPb zXBiaf ynRLnc" jscontroller="iSvg6e" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;touchstart:p6p2H; touchmove:FwuNnf; touchend:yfqBxc(preventDefault=true); touchcancel:JMtRjd;;keydown:I481le;" jsshadow jsname="Bg3gkf" aria-label="Site actions" aria-disabled="false" tabindex="0" aria-haspopup="true" aria-expanded="false" data-menu-corner="bottom-start" data-anchor-corner="top-start"><div class="NWlf3e MbhUzd" jsname="ksKsZd"></div><span jsslot class="MhXXcc oJeWuf"><span class="Lw7GHd snByac"><svg width="24" height="24" viewBox="0 0 24 24" focusable="false" class=" NMm5M"><path d="M11 17h2v-6h-2v6zm1-15C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm0 18c-4.41 0-8-3.59-8-8s3.59-8 8-8 8 3.59 8 8-3.59 8-8 8zM11 9h2V7h-2v2z"/></svg></span></span><div jsname="xl07Ob" style="display:none" aria-hidden="true"><div class="JPdR6b hVNH5c" jscontroller="uY3Nvd" jsaction="IpSVtb:TvD9Pc;fEN2Ze:xzS4ub;frq95c:LNeFm;cFpp9e:J9oOtd; click:H8nU8b; mouseup:H8nU8b; keydown:I481le; keypress:Kr2w4b; blur:O22p3e; focus:H8nU8b" role="menu" tabindex="0" style="position:fixed"><div class="XvhY1d" jsaction="mousedown:p8EH2c; touchstart:p8EH2c;"><div class="JAPqpe K0NPx"><span jsslot class="z80M1 FeRvI" jsaction="click:o6ZaF(preventDefault=true); mousedown:lAhnzb; mouseup:Osgxgf; mouseenter:SKyDAe; mouseleave:xq3APb;touchstart:jJiBRc; touchmove:kZeBdd; touchend:VfAz8" jsname="j7LFlb" aria-label="Google Sites" role="menuitem" tabindex="-1"><div class="aBBjbd MbhUzd" jsname="ksKsZd"></div><div class="uyYuVb oJeWuf" jsaction="JIbuQc:Toy3n;" jsname="V2zOu"><div class="jO7h3c">Google Sites</div></div></span><span jsslot class="z80M1 FeRvI" jsaction="click:o6ZaF(preventDefault=true); mousedown:lAhnzb; mouseup:Osgxgf; mouseenter:SKyDAe; mouseleave:xq3APb;touchstart:jJiBRc; touchmove:kZeBdd; touchend:VfAz8" jsname="j7LFlb" data-disabled-tooltip="Report abuse is not available in preview mode" aria-label="Report abuse" role="menuitem" tabindex="-1"><div class="aBBjbd MbhUzd" jsname="ksKsZd"></div><div class="uyYuVb oJeWuf" jscontroller="HYv29e" jsaction="JIbuQc:dQ6O0c;" jsname="lV5oke" data-abuse-proto="%.@.null,null,"https://sites.google.com/view/cse--2020/accepted-papers"]" data-abuse-reporting-widget-proto="%.@.null,"https://sites.google.com/view/cse--2020/accepted-papers"]"><div class="jO7h3c">Report abuse</div></div></span><span jsslot class="z80M1 FeRvI" jsaction="click:o6ZaF(preventDefault=true); mousedown:lAhnzb; mouseup:Osgxgf; mouseenter:SKyDAe; mouseleave:xq3APb;touchstart:jJiBRc; touchmove:kZeBdd; touchend:VfAz8" jsname="j7LFlb" aria-label="Page details" role="menuitem" tabindex="-1"><div class="aBBjbd MbhUzd" jsname="ksKsZd"></div><div class="uyYuVb oJeWuf" jsaction="JIbuQc:hriXLd;" jsname="Rg8K2c"><div class="jO7h3c">Page details</div></div></span></div></div></div></div></div></div><div jscontroller="j1RDQb" jsaction="focusin:gBxDVb(srlkmf); focusout:zvXhGb(srlkmf); click:ro2KTd(psdQ5e);JIbuQc:DSypkd(Bg3gkf);MxH79b:JdcaS;rcuQ6b:rcuQ6b;" class="LqzjUe ynRLnc" data-last-updated-at-time="1608356318662" data-is-preview="false"><div jsname="psdQ5e" class="Q0cSn"></div><div jsname="bN97Pc" class="hBW7Hb"><div role="button" class="U26fgb mUbCce fKz7Od kpPxtd QMuaBc M9Bg4d" jscontroller="VXdfxd" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;touchstart:p6p2H; touchmove:FwuNnf; touchend:yfqBxc(preventDefault=true); touchcancel:JMtRjd;" jsshadow jsname="Bg3gkf" aria-label="Site actions" aria-disabled="false" tabindex="-1" aria-hidden="true"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -12px"><svg width="24" height="24" viewBox="0 0 24 24" focusable="false" class=" NMm5M"><path d="M11 17h2v-6h-2v6zm1-15C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm0 18c-4.41 0-8-3.59-8-8s3.59-8 8-8 8 3.59 8 8-3.59 8-8 8zM11 9h2V7h-2v2z"/></svg></span></span></div><div jsname="srlkmf" class="hUphyc"><div class="YkaBSd"><div class="iBkmkf"><span>Page updated</span> <span jsname="CFIm1b" class="dji00c" jsaction="AHmuwe:eGiyHb; mouseover:eGiyHb;" tabindex="0" role="contentinfo"></span></div></div><div class="YkaBSd" jsaction="click:Toy3n;"><div role="button" class="U26fgb kpPxtd J7BuEb" jsshadow jsname="V2zOu" aria-disabled="false" tabindex="0">Google Sites</div></div><div class="YkaBSd" jscontroller="HYv29e" jsaction="click:dQ6O0c;" data-abuse-proto="%.@.null,null,"https://sites.google.com/view/cse--2020/accepted-papers"]" data-abuse-reporting-widget-proto="%.@.null,"https://sites.google.com/view/cse--2020/accepted-papers"]"><div role="button" class="U26fgb kpPxtd J7BuEb" jsshadow aria-label="Report abuse" aria-disabled="false" tabindex="0">Report abuse</div></div></div></div></div></div></div></div><script nonce="KSdVUpipGfL6dsfA8xQE5g">DOCS_timing['cov']=new Date().getTime();</script><script src="https://www.gstatic.com/_/atari/_/js/k=atari.vw.en_US.fw_mAcuwUyE.O/am=MBiA/d=1/rs=AGEqA5lwNXFYaHUUDGYHiMqlOO36DqQAOw/m=view" id="base-js" nonce="KSdVUpipGfL6dsfA8xQE5g"></script></div></div><div jscontroller="YV8yqd" jsaction="rcuQ6b:npT2md"></div></body></html>