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IEICE TRANSACTIONS 信息 > 卷 E107-D No.11

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score_name" id="skip_info">Eigenfactor</p> <p class="score">0.002</p> </li> <li> <p class="notranslate score_name" id="skip_info">article influence</p> <p class="score">0.1</p> </li> <li> <p class="notranslate score_name" id="skip_info">Cite Score</p> <p class="score">1.4</p> </li> </ul> </div> <div class="action_box"> <ul> <li> <span class="cap js-modal-open" data-tippy-content="add issue to my alerts" data-target="modal_sign_personal"> <a href="add_alerts/information/"><i class="fas fa-plus-square" style="color: #C0C0C0"></i></a> </span> </li> </ul> </div> </div> <div class="left_box"> <div class="nav-tab"> <ul class="clearfix"> <li class="tab advance">前往提前出版</li> <li class="tab latest is-active">至最新一期</li> </ul> </div> <section class="box advance"> <h3>提前发表(接受后立即在线发表)</h3> <div class="list"> <ul> <li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7158/_advpub_f"><span class="TEXT-TITLE">FusionReg:用于 3D 物体检测的 LiDAR-Camera 融合回归增强</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Rongchun XIAO</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Yuansheng LIU</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Jun ZHANG</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Yanliang HUANG</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Xi HAN</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/11/27</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7158/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7158/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (2.6MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024NTP0003/_advpub_f"><span class="TEXT-TITLE">加速完整性保护名称解析架构,并行使用两个带和不带 DNSSEC 验证的全服务解析器</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Yong JIN</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Kazuya IGUCHI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Nariyoshi YAMAI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Rei NAKAGAWA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Toshio MURAKAMI</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/11/22</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024NTP0003/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024NTP0003/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (1010.6KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024NTI0001/_advpub_f"><span class="TEXT-TITLE">利用异构可编程数据平面实现蜂窝网络、5G 及更高版本的安全性和隐私性</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Toru HASEGAWA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Yuki KOIZUMI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Junji TAKEMASA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Jun KURIHARA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Toshiaki TANAKA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Timothy WOOD</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">K. K. RAMAKRISHNAN</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/11/21</dd></dl><dl><dt></dt><dd>特邀论文</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024NTI0001/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024NTI0001/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (10.1MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024NTP0004/_advpub_f"><span class="TEXT-TITLE">使用分层机器学习分析从 DoH 流量中检测基于 DGA 的恶意软件通信</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Rikima MITSUHASHI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Yong JIN</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Katsuyoshi IIDA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Yoshiaki TAKAI</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/11/21</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024NTP0004/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024NTP0004/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (3.8MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8059/_advpub_f"><span class="TEXT-TITLE">利用多级数据不确定性进行日中神经机器翻译</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Zezhong LI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Jianjun MA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Fuji REN</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/11/19</dd></dl><dl><dt></dt><dd>博客</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8059/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8059/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (275.3KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024IIP0002/_advpub_f"><span class="TEXT-TITLE">基于 Twitter 数据的集成 Transformers 模型改进健康疫情情绪分析</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Lorenzo Mamelona</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">TingHuai Ma</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Jia Li</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Bright Bediako-Kyeremeh</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Benjamin Kwapong Osibo</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/11/19</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024IIP0002/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024IIP0002/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (1.1MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8061/_advpub_f"><span class="TEXT-TITLE">APW:非对称填充 Winograd 可减少线程发散,从而提高 SIMT 架构的计算效率</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Wonho LEE</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Jong Wook KWAK</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/11/14</dd></dl><dl><dt></dt><dd>博客</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8061/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8061/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (1.1MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7022/_advpub_f"><span class="TEXT-TITLE">数值方法选择对神经模拟全流水线 FPGA 加速器的影响</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Xiaoxiao ZHOU</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Yukinori SATO</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/11/13</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7022/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7022/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (1.5MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7104/_advpub_f"><span class="TEXT-TITLE">一种利用基于图像的语义并降低抄袭风险的文本到歌词生成方法</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Kento WATANABE</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Masataka GOTO</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/11/13</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7104/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7104/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (1.6MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024HCP0002/_advpub_f"><span class="TEXT-TITLE">多模态语音活动投影在话轮转换中的应用及其对说话者适应的影响</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Kazuyo ONISHI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Hiroki TANAKA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Satoshi NAKAMURA</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/11/13</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024HCP0002/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024HCP0002/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (1.6MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8073/_advpub_f"><span class="TEXT-TITLE">关于常规互连网络中扰动概念的探讨</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Takashi YOKOTA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Kanemitsu OOTSU</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/11/12</dd></dl><dl><dt></dt><dd>博客</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8073/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8073/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (217.3KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024IIP0010/_advpub_f"><span class="TEXT-TITLE">基于贝叶斯优化的柔性纸质答题纸光学标记阵列自动识别</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Chenbo SHI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Wenxin SUN</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Jie ZHANG</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Junsheng ZHANG</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Chun ZHANG</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Changsheng ZHU</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/11/12</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024IIP0010/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024IIP0010/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (3.9MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024IIL0001/_advpub_f"><span class="TEXT-TITLE">根据 Bandit 算法选择源代码生成工具</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Masateru TSUNODA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Ryoto SHIMA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Amjed TAHIR</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Kwabena Ebo BENNIN</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Akito MONDEN</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Koji TODA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Keitaro NAKASAI</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/11/11</dd></dl><dl><dt></dt><dd>博客</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024IIL0001/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024IIL0001/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (130.3KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024IIL0002/_advpub_f"><span class="TEXT-TITLE">强盗算法在克隆检测方法选择中的应用</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Masateru TSUNODA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Takuto KUDO</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Akito MONDEN</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Amjed TAHIR</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Kwabena Ebo BENNIN</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Koji TODA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Keitaro NAKASAI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Kenichi MATSUMOTO</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/11/11</dd></dl><dl><dt></dt><dd>博客</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024IIL0002/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024IIL0002/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (1.1MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7074/_advpub_f"><span class="TEXT-TITLE">通过尺度因果块进行轻量级神经数据序列建模</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Hiroaki AKUTSU</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Ko ARAI</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/11/08</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7074/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7074/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (1.6MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7166/_advpub_f"><span class="TEXT-TITLE">基于判别区域多尺度残差特征的重拍图像检测</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Lanxi LIU</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Pengpeng YANG</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Suwen DU</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Sani M. ABDULLAHI</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/11/08</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7166/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7166/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (5.9MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7204/_advpub_f"><span class="TEXT-TITLE">通过对比学习的多尺度图像退化来学习小物体检测的判别特征</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Xiaoguang TU</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Zhi HE</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Gui FU</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Jianhua LIU</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Mian ZHONG</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Chao ZHOU</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Xia LEI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Juhang YIN</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Yi HUANG</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Yu WANG</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/11/05</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7204/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7204/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (1.4MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8054/_advpub_f"><span class="TEXT-TITLE">联合分布对齐双稀疏线性回归用于跨刺激语音抑郁症检测</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Yingying LU</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Cheng LU</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Yuan ZONG</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Feng ZHOU</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Chuangao TANG</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/11/01</dd></dl><dl><dt></dt><dd>博客</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8054/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8054/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (229.4KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7200/_advpub_f"><span class="TEXT-TITLE">迭代适应的多粒度可保证需求分析</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Jialong LI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Takuto YAMAUCHI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Takanori HIRANO</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Jinyu CAI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Kenji TEI</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/10/31</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7200/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7200/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (567.6KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2023EDP7276/_advpub_f"><span class="TEXT-TITLE">全数字MIMO雷达波形分集实验发射接收平台</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Wei LEI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Yue ZHANG</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Hanfeng XIE</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Zebin CHEN</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Zengping CHEN</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Weixing LI</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/10/30</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2023EDP7276/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2023EDP7276/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (7MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7194/_advpub_f"><span class="TEXT-TITLE">利用不同的布尔函数分解来减少基于 LUT 的量子电路合成中的 T 计数</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">David CLARINO</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Naoya ASADA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Atsushi MATSUO</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Shigeru YAMASHITA</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/10/30</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7194/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7194/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (1.3MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2023EDP7204/_advpub_f"><span class="TEXT-TITLE">集体通信中堆叠杯法注入时机的关键性和容差</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Takashi YOKOTA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Kanemitsu OOTSU</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/10/28</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2023EDP7204/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2023EDP7204/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (1.5MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7117/_advpub_f"><span class="TEXT-TITLE">具有多注意和角点检测机制的无锚暹罗跟踪器</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Xiaokang Jin</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Benben Huang</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Hao Sheng</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Yao Wu</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/10/28</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7117/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7117/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (3MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8030/_advpub_f"><span class="TEXT-TITLE">礼貌程度对智能音箱向用户发出重新输入请求的信任度的影响 - 试点研究 -</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Tomoki MIYAMOTO</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/10/23</dd></dl><dl><dt></dt><dd>博客</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8030/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8030/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (2.2MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7108/_advpub_f"><span class="TEXT-TITLE">谈判中期对话中最终分歧预期的微调模型</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Ken WATANABE</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Katsuhide FUJITA</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/10/10</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7108/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7108/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (3.8MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024MUI0001/_advpub_f"><span class="TEXT-TITLE">深度伪造语音检测:从与听觉感知相关的声学特征到深度神经网络的方法</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Masashi UNOKI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Kai LI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Anuwat CHAIWONGYEN</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Quoc-Huy NGUYEN</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Khalid ZAMAN</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/10/07</dd></dl><dl><dt></dt><dd>特邀论文</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024MUI0001/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024MUI0001/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (965KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024MUP0003/_advpub_f"><span class="TEXT-TITLE">基于3D U-Net的抗重拍视频水印方法</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Takaharu TSUBOYAMA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Ryota TAKAHASHI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Motoi IWATA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Koichi KISE</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/10/07</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024MUP0003/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024MUP0003/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (4MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7036/_advpub_f"><span class="TEXT-TITLE">UTStyleCap4K:生成具有情感风格的图像标题</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Chi ZHANG</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Li TAO</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Toshihiko YAMASAKI</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/10/02</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7036/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7036/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (2.5MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8057/_advpub_f"><span class="TEXT-TITLE">FP-GNN:用于门级网表中硬件木马检测的图神经网络</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Ann Jelyn TIEMPO</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Yong-Jin JEONG</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/10/01</dd></dl><dl><dt></dt><dd>博客</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8057/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8057/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (532.3KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7056/_advpub_f"><span class="TEXT-TITLE">基于几何分割模式的自适应合并候选选择(超越通用视频编码)</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Haruhisa KATO</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Yoshitaka KIDANI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Kei KAWAMURA</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/09/24</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7056/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7056/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (4MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024IIP0005/_advpub_f"><span class="TEXT-TITLE">用于未来 6G V2X 网络任务卸载的多智能体深度强化学习算法</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Jiakun LI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Jiajian LI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Yanjun SHI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Hui LIAN</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Haifan WU</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/09/24</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024IIP0005/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024IIP0005/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (1.2MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8060/_advpub_f"><span class="TEXT-TITLE">Dalio:内核中键值存储的集中复制</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Gyuyeong KIM</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/09/20</dd></dl><dl><dt></dt><dd>博客</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8060/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8060/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (138.7KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2023EDP7160/_advpub_f"><span class="TEXT-TITLE">通过文本分类系统的类别差异检测文本后门攻击</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Hyun KWON</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Jun LEE</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/09/19</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2023EDP7160/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2023EDP7160/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (680.5KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8067/_advpub_f"><span class="TEXT-TITLE">D2PT:利用知识蒸馏实现密度到点变换的人群计数和定位</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Fan LI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Enze YANG</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Chao LI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Shuoyan LIU</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Haodong WANG</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/09/17</dd></dl><dl><dt></dt><dd>博客</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8067/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8067/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (1.8MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7129/_advpub_f"><span class="TEXT-TITLE">使用生成对抗网络进行网络流量分类的增量学习</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Guangjin Ouyang</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Yong Guo</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Yu Lu</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Fang He</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/09/13</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7129/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7129/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (1.3MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7049/_advpub_f"><span class="TEXT-TITLE">基于加权多元高斯分布的多尺度轨道表面异常检测</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Yuyao LIU</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Qingyong LI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Shi BAO</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Wen WANG</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/09/12</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7049/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7049/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (7.8MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8042/_advpub_f"><span class="TEXT-TITLE">BP-CRN:用于多通道语音增强的轻量级两阶段卷积循环网络</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Cong PANG</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Ye NI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Jia Ming CHENG</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Lin ZHOU</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Li ZHAO</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/09/10</dd></dl><dl><dt></dt><dd>博客</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8042/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8042/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (2.6MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024MPL0001/_advpub_f"><span class="TEXT-TITLE">通过在线学习建立考虑缺陷忽略的缺陷预测模型</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Nikolay FEDOROV</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Yuta YAMASAKI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Masateru TSUNODA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Akito MONDEN</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Amjed TAHIR</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Kwabena Ebo BENNIN</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Koji TODA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Keitaro NAKASAI</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/09/09</dd></dl><dl><dt></dt><dd>博客</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024MPL0001/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024MPL0001/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (96.5KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024MPL0002/_advpub_f"><span class="TEXT-TITLE">缺陷(重新)预测对软件测试的影响</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Yukasa MURAKAMI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Yuta YAMASAKI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Masateru TSUNODA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Akito MONDEN</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Amjed TAHIR</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Kwabena Ebo BENNIN</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Koji TODA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Keitaro NAKASAI</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/09/09</dd></dl><dl><dt></dt><dd>博客</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024MPL0002/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024MPL0002/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (148.4KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2023EDP7229/_advpub_f"><span class="TEXT-TITLE">基于内容的图像检索的确定性和概率性认证防御</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Kazuya KAKIZAKI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Kazuto FUKUCHI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Jun SAKUMA</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/09/05</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2023EDP7229/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2023EDP7229/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (3.4MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7076/_advpub_f"><span class="TEXT-TITLE">Bicubes 中的容错路由</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Yitong WANG</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Htoo Htoo Sandi KYAW</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Kunihiro FUJIYOSHI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Keiichi KANEKO</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/09/05</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7076/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7076/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (759.2KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7020/_advpub_f"><span class="TEXT-TITLE">整合网络物理模型进行疫情监测:基于图形的疾病热点预测和公众意识方法</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Waqas NAWAZ</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Muhammad UZAIR</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Kifayat ULLAH KHAN</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Iram FATIMA</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/08/29</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7020/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7020/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (2.2MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8048/_advpub_f"><span class="TEXT-TITLE">大课堂图文实时互动</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Haeyoung Lee</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/08/28</dd></dl><dl><dt></dt><dd>博客</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8048/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8048/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (372.3KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8014/_advpub_f"><span class="TEXT-TITLE">基于 CNN 的特征集成网络用于麦克风阵列中的语音增强</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Ji XI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Pengxu JIANG</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Yue XIE</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Wei JIANG</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Hao DING</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/08/26</dd></dl><dl><dt></dt><dd>博客</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8014/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8014/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (2MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7087/_advpub_f"><span class="TEXT-TITLE">可见红外行人重新识别的部分增强和通道聚合</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Weiwei JING</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Zhonghua LI</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/08/26</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7087/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7087/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (1.4MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8046/_advpub_f"><span class="TEXT-TITLE">使用 TTP 的实用 APT 组哈希单元分析框架</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Sena LEE</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Chaeyoung KIM</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Hoorin PARK</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/08/20</dd></dl><dl><dt></dt><dd>博客</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8046/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8046/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (716.5KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0008/_advpub_f"><span class="TEXT-TITLE">双边着色有限自动机与双边着色正则表达式</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Akira ITO</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Yoshiaki TAKAHASHI</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/08/20</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0008/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0008/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (652.7KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0010/_advpub_f"><span class="TEXT-TITLE">获胜目标不可区分的策略与均衡及相关决策问题</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Rindo NAKANISHI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Yoshiaki TAKATA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Hiroyuki SEKI</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/08/20</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0010/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0010/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (1.5MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0004/_advpub_f"><span class="TEXT-TITLE">Yajisan-Kazusan 和彩色玻璃的计算复杂性</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Chuzo IWAMOTO</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Ryo TAKAISHI</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/08/16</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0004/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0004/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (682.2KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8047/_advpub_f"><span class="TEXT-TITLE">基于聚类的深度学习水位预测方法</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Chih-Ping Wang</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Duen-Ren Liu</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/08/14</dd></dl><dl><dt></dt><dd>博客</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8047/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8047/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (778.9KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2023EDP7139/_advpub_f"><span class="TEXT-TITLE">用于学习符号约束线性预测器的随机双坐标上升法</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Yuya TAKADA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Rikuto MOCHIDA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Miya NAKAJIMA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Syun-suke KADOYA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Daisuke SANO</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Tsuyoshi KATO</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/08/08</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2023EDP7139/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2023EDP7139/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (483.5KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8020/_advpub_f"><span class="TEXT-TITLE">多维多任务面部表情识别用于学业成绩预测</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Yi Huo</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Yun Ge</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/08/08</dd></dl><dl><dt></dt><dd>博客</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8020/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8020/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (458.2KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8040/_advpub_f"><span class="TEXT-TITLE">使用人类多能干细胞进行混合 SVM 学习以预测化合物毒性</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Rikuto MOCHIDA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Miya NAKAJIMA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Haruki ONO</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Takahiro ANDO</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Tsuyoshi KATO</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/08/08</dd></dl><dl><dt></dt><dd>博客</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8040/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8040/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (170.9KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0003/_advpub_f"><span class="TEXT-TITLE">基于二元语法的 ILP 公式,用于体育赛事调度问题中的休息时间最小化</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Koichi FUJII</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Tomomi MATSUI</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/08/08</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0003/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0003/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (1MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8021/_advpub_f"><span class="TEXT-TITLE">基于树突学习的深度网络特征融合</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Yaotong SONG</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Zhipeng LIU</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Zhiming ZHANG</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Jun TANG</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Zhenyu LEI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Shangce GAO</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/08/07</dd></dl><dl><dt></dt><dd>博客</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8021/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8021/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (289.3KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7033/_advpub_f"><span class="TEXT-TITLE">将行程压缩应用于 SLM 细粒度可重构逻辑的配置数据</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Souhei TAKAGI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Takuya KOJIMA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Hideharu AMANO</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Morihiro KUGA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Masahiro IIDA</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/08/07</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7033/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7033/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (2.6MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024PAP0006/_advpub_f"><span class="TEXT-TITLE">智慧社会图谱大数据处理面临潜藏木马攻击</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Jun ZHOU</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Masaaki KONDO</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/08/07</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024PAP0006/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024PAP0006/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (825.5KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7092/_advpub_f"><span class="TEXT-TITLE">在采用助推策略的票务预订系统中应用无经济激励的空间人群平滑的可行性研究</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Tetsuya MANABE</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Wataru UNUMA</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/08/05</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7092/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7092/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (1.3MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCL0002/_advpub_f"><span class="TEXT-TITLE">(15 / 14)<i>n</i> 翻转几乎足以对 Heydari 和 Sudborough 的煎饼堆进行排序</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Kazuyuki AMANO</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/08/05</dd></dl><dl><dt></dt><dd>博客</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCL0002/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCL0002/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (288.7KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0011/_advpub_f"><span class="TEXT-TITLE">长方体格子展开的重叠</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Takumi SHIOTA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Tonan KAMATA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Ryuhei UEHARA</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/08/05</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0011/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0011/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (722.9KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0009/_advpub_f"><span class="TEXT-TITLE">精确匹配问题的FPT算法及相关问题的NP难度</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Hitoshi MURAKAMI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Yutaro YAMAGUCHI</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/08/01</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0009/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0009/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (704.5KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7015/_advpub_f"><span class="TEXT-TITLE">基于深度学习方法的无人机图像减振器识别</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Jingjing Liu</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Chuanyang Liu</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Yiquan Wu</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Zuo Sun</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/07/30</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7015/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7015/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (3.2MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8041/_advpub_f"><span class="TEXT-TITLE">DCVC 中基于时间相关性的端到端速率控制</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Zhenglong YANG</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Weihao DENG</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Guozhong WANG</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Tao FAN</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Yixi LUO</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/07/29</dd></dl><dl><dt></dt><dd>博客</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8041/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8041/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (574.4KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8058/_advpub_f"><span class="TEXT-TITLE">具有冻结量词的 Mu-演算子类与 Büchi 寄存器自动机等价</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Yoshiaki TAKATA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Akira ONISHI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Ryoma SENDA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Hiroyuki SEKI</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/07/26</dd></dl><dl><dt></dt><dd>博客</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8058/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8058/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (137.6KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7016/_advpub_f"><span class="TEXT-TITLE">使用知识提炼和稳健数据增强进行退化图像分类</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Dinesh DAULTANI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Masayuki TANAKA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Masatoshi OKUTOMI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Kazuki ENDO</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/07/26</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7016/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7016/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (4.4MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0002/_advpub_f"><span class="TEXT-TITLE">逃出房间</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Kento KIMURA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Tomohiro HARAMIISHI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Kazuyuki AMANO</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Shin-ichi NAKANO</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/07/11</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0002/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0002/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (1.1MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0006/_advpub_f"><span class="TEXT-TITLE">通过基于 Frank-Wolfe 的元环绕算法进行在线组合线性优化</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Ryotaro MITSUBOSHI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Kohei HATANO</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Eiji TAKIMOTO</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/07/11</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0006/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0006/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (1.1MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024PAP0007/_advpub_f"><span class="TEXT-TITLE">基于翻转计数的并行退火算法约束组合优化动态温度控制方法</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Genta INOUE</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Daiki OKONOGI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Satoru JIMBO</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Thiem Van CHU</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Masato MOTOMURA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Kazushi KAWAMURA</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/07/11</dd></dl><dl><dt></dt><dd>纸</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024PAP0007/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024PAP0007/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (1.7MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024PCL0001/_advpub_f"><span class="TEXT-TITLE">固定摄像机场景检测限制训练数据的CAIN模型帧插值性能评估</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Hikaru USAMI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Yusuke KAMEDA</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/07/11</dd></dl><dl><dt></dt><dd>博客</dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024PCL0001/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024PCL0001/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (708.9KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024PAP0002/_advpub_f"><span class="TEXT-TITLE">利用判别性数据实现联邦学习中的卓越剪枝性能</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Yinan YANG</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/06/27</dd></dl><dl><dt></dt><dd></dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024PAP0002/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024PAP0002/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (7.9MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024PAP0003/_advpub_f"><span class="TEXT-TITLE">光电混合浮点乘法器的设计与实现</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Takumi INABA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Takatsugu ONO</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Koji INOUE</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Satoshi KAWAKAMI</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/06/26</dd></dl><dl><dt></dt><dd></dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024PAP0003/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024PAP0003/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (2.5MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024PCP0004/_advpub_f"><span class="TEXT-TITLE">HDR-VDA:用于 HDR 视频重建的全阶段数据增强方法</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Fengshan ZHAO</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Qin LIU</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Takeshi IKENAGA</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/06/17</dd></dl><dl><dt></dt><dd></dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024PCP0004/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024PCP0004/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (1.2MB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0005/_advpub_f"><span class="TEXT-TITLE">节省空间的 FPT 简并算法</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Naohito MATSUMOTO</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Kazuhiro KURITA</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Masashi KIYOMI</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/05/31</dd></dl><dl><dt></dt><dd></dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0005/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0005/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (101.3KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCL0001/_advpub_f"><span class="TEXT-TITLE">无三角不等式路由博弈的最小核心</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Tomohiro KOBAYASHI</span>&nbsp;&nbsp;<span id="skip_info" class="notranslate TEXT-AUTHOR">Tomomi MATSUI</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/05/30</dd></dl><dl><dt></dt><dd></dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCL0001/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCL0001/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (232.9KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0001/_advpub_f"><span class="TEXT-TITLE">使用对齐列枚举平面图</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR">Shin-ichi NAKANO</span>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>已发表:</dt><dd>2024/05/30</dd></dl><dl><dt></dt><dd></dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0001/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024FCP0001/_pdf_advpub" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Free </span><span id="skip_info" class="notranslate">PDF (365.4KB) </span></a></li></ul></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2022DLP0067/_advpub_f"><span class="TEXT-TITLE-CANCEL">一种基于混合轻量级加密的神经形态计算系统IP核保护方案</span></a></h4><p class="gt-block"><span id="skip_info" class="notranslate TEXT-AUTHOR-CANCEL">Ming PAN</span>&nbsp;&nbsp;<br> </p><div style="padding: 0.5em 1em; margin: 0.5em 0; font-weight: bold; border: solid 2px #ff0000;"><span class="TEXT-CANCEL-COMMENT">本文未支付文章处理费。</span></div><div class="data"> <dl><dt>已发表:</dt><dd>2022/09/14</dd></dl><dl><dt></dt><dd></dd></dl></div><div class="action"><ul><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2022DLP0067/_advpub_f"><span id="skip_info" class="notranslate">Summary</span></a></li></ul></div></li> </ul> </div> </section> <section class="box latest is-show"> <div class="whole_issue"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.E107-D_202411/_pdf_Wholeissue" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate">Whole issue <span>(49.4MB)</span> </span></a></div><style> .whole_issue00 { display: block; text-decoration: none; width: 200px; text-align: center; color: #fff; border: solid 1px #b03527; background-color: gray; border-radius: 50px; padding: 10px 0; margin: 0 auto 20px 0; position: absolute; top: 25px; } </style> <div class="pagination top"> <ul style="justify-content: center; text-align: center;"> <li class="prev"><a href="https://zh-cn.global.ieice.org/en_transactions/information/E107-D_10"><span>上一页</span></a> </li> <li class="next"></li> </ul> </div> <!-- <table cellspacing="0" cellpadding="0" border="0"> <tr><td align="right"><a href="https://zh-cn.global.ieice.org/en_transactions/information/E107-D_10"><span>Previous</span></a> </td><td align="left" nowrap></td></tr> </table> --> <h3>Volume&nbsp;E107-D&nbsp;No.11&nbsp;&nbsp;(Publication Date:2024/11/01)</h3> <div class="list"> <ul> <span style="padding: 0.2em 0.2em; margin: 2em 0; background: #f5f5dc;" class="TEXT-SPL">常规部分</span><hr noshade="" align="right" width="97%" size="1" color="#cccccc"><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7025/_f"><span class="TEXT-TITLE">BiConvNet:在双侧分支图像分割网络中整合空间细节和深度语义特征</span></a>&nbsp;<span class="open_access">开放存取</span></h4><p class="gt-block"><a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Zhigang%20WU"><span id="skip_info" class="notranslate TEXT-AUTHOR">Zhigang WU</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Yaohui%20ZHU"><span id="skip_info" class="notranslate TEXT-AUTHOR">Yaohui ZHU</span></a>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>&nbsp;</dt><dd class="notranslate TEXT-COL" id="skip_info">PAPER-Fundamentals of Information Systems</dd></dl><br><dl> <dt class="TEXT-COL">&nbsp; 已发表:</dt><dd class="TEXT-COL">2024/07/16</dd></dl><dl class="TEXT-COL"><dt class="TEXT-COL">&nbsp; 页码:</dt><dd class="TEXT-COL">1385-1395</dd></dl></div><div class="action"><ul><li class="summary toggle"><a onclick="ga('send', 'event', 'summary', 'click', 'ED');"><span id="skip_info" class="notranslate"><i class="fas fa-angle-down"></i></span></a></li> <input type="hidden" name="pid" value="e107-d_11_1385" id="hidden0"><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7025/_f" onclick="ga('send', 'event', 'intro', 'click', 'ED');"><span id="skip_info" class="notranslate">HTML</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7025/_pdf" onclick="ga('send', 'event', 'PDF', 'Down Load', 'ED');" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate"><span id="skip_info" class="notranslate">Free </span>PDF (7.6MB) </span></a></li></ul><div class="summary_txt"> <p class="TEXT-COL">本文重点改进BiSeNet v2双边分支图像分割网络结构,提升其对空间细节的学习能力和整体图像分割精度,提出了一种改进的网络BiconvNet。首先,为了更有效地提取浅层空间细节,提出了一种并行的串联条带和空洞(PCSD)卷积模块,用于提取细节分支中的局部特征和周围上下文特征。接着,利用深度可分离卷积的轻量级能力和ConvNet的高性能重构语义分支,以便更高效地学习深度高级语义特征。最后,对BiSeNet v2的双边引导聚合层进行微调,使细节分支和语义分支输出的特征图得到更好的融合。实验部分讨论了条带卷积和不同大小的空洞卷积对图像分割精度的贡献,并将它们与Conv2d卷积、CG卷积和CCA卷积等常见卷积进行了比较。实验证明,本文提出的PCSD卷积模块相较于普通卷积,在Cityscapes数据集所有类别中分割精度最高,BiConvNet在模型参数仅增加9.39M的情况下,较BiSeNet v2网络实现了1.18%的精度提升,在验证集上实现了68.75%的mIoU精度。此外,通过与近年​​来常用的自动驾驶图像分割算法的对比实验,BiConvNet在Cityscapes和BDD100K数据集上表现出了很强的分割精度竞争优势。</p> </div></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2023EDP7279/_f"><span class="TEXT-TITLE">工厂自动化中基于流水线结构的 1 毫秒超像素分割系统的流式 SSN</span></a>&nbsp;<span class="open_access">开放存取</span></h4><p class="gt-block"><a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Yuan%20LI"><span id="skip_info" class="notranslate TEXT-AUTHOR">Yuan LI</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Tingting%20HU"><span id="skip_info" class="notranslate TEXT-AUTHOR">Tingting HU</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Ryuji%20FUCHIKAMI"><span id="skip_info" class="notranslate TEXT-AUTHOR">Ryuji FUCHIKAMI</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Takeshi%20IKENAGA"><span id="skip_info" class="notranslate TEXT-AUTHOR">Takeshi IKENAGA</span></a>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>&nbsp;</dt><dd class="notranslate TEXT-COL" id="skip_info">PAPER-Computer System</dd></dl><br><dl> <dt class="TEXT-COL">&nbsp; 已发表:</dt><dd class="TEXT-COL">2024/07/23</dd></dl><dl class="TEXT-COL"><dt class="TEXT-COL">&nbsp; 页码:</dt><dd class="TEXT-COL">1396-1407</dd></dl></div><div class="action"><ul><li class="summary toggle"><a onclick="ga('send', 'event', 'summary', 'click', 'ED');"><span id="skip_info" class="notranslate"><i class="fas fa-angle-down"></i></span></a></li> <input type="hidden" name="pid" value="e107-d_11_1396" id="hidden1"><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2023EDP7279/_f" onclick="ga('send', 'event', 'intro', 'click', 'ED');"><span id="skip_info" class="notranslate">HTML</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2023EDP7279/_pdf" onclick="ga('send', 'event', 'PDF', 'Down Load', 'ED');" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate"><span id="skip_info" class="notranslate">Free </span>PDF (10.3MB) </span></a></li></ul><div class="summary_txt"> <p class="TEXT-COL">1 毫秒 (1-ms) 视觉系统在工厂自动化和机器人等不同领域越来越受到关注,因为超低延迟可确保无缝和及时响应。超像素分割是一种关键的预处理,可减少后续处理的图像基元数量。最近,人们越来越重视利用基于深度网络的算法来追求卓越的性能并更好地集成到其他深度网络任务中。超像素采样网络 (SSN) 采用深度网络进行特征生成,采用可微分 SLIC 进行超像素生成。SSN 以少量参数实现高性能。然而,由于最终层聚合了中间结果,在 FPGA 上实现超低延迟的 SSN 面临挑战。为了解决这一限制,本文提出了一种用于 FPGA 实现的聚合到流水线结构。最终层被分解为每个中间结果的单独最终层。这种架构调整消除了对内存存储中间结果的需求。同时,所提出的结构利用分解层来促进具有像素流输入的流水线结构,以实现超低延迟。为了配合流水线结构,提出了分层内存结构。每个最终层都有专用内存来存储超像素中心信息,允许从内存中读取和计算值而不会发生冲突。每个最终层的计算结果都会累积起来,当流到达最后一层时,就会获得每个像素的结果。评估结果表明,边界召回和欠分割误差与 SSN 相当,平均标签一致性比 SSN 提高了 0.035。从硬件性能角度来看,所提出的系统处理 1000 FPS 图像时延迟为 0.947 毫秒/帧。</p> </div></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7019/_f"><span class="TEXT-TITLE">使用 MemFI 对内存键值存储的内存错误处理程序进行运行时测试</span></a>&nbsp;<span class="open_access">开放存取</span></h4><p class="gt-block"><a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Naoya%20NEZU"><span id="skip_info" class="notranslate TEXT-AUTHOR">Naoya NEZU</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Hiroshi%20YAMADA"><span id="skip_info" class="notranslate TEXT-AUTHOR">Hiroshi YAMADA</span></a>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>&nbsp;</dt><dd class="notranslate TEXT-COL" id="skip_info">PAPER-Software System</dd></dl><br><dl> <dt class="TEXT-COL">&nbsp; 已发表:</dt><dd class="TEXT-COL">2024/07/11</dd></dl><dl class="TEXT-COL"><dt class="TEXT-COL">&nbsp; 页码:</dt><dd class="TEXT-COL">1408-1421</dd></dl></div><div class="action"><ul><li class="summary toggle"><a onclick="ga('send', 'event', 'summary', 'click', 'ED');"><span id="skip_info" class="notranslate"><i class="fas fa-angle-down"></i></span></a></li> <input type="hidden" name="pid" value="e107-d_11_1408" id="hidden2"><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7019/_f" onclick="ga('send', 'event', 'intro', 'click', 'ED');"><span id="skip_info" class="notranslate">HTML</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7019/_pdf" onclick="ga('send', 'event', 'PDF', 'Down Load', 'ED');" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate"><span id="skip_info" class="notranslate">Free </span>PDF (5.9MB) </span></a></li></ul><div class="summary_txt"> <p class="gt-block TEXT-COL">现代内存设备(例如 DRAM)在运行过程中容易因意外的位翻转而发生错误。由于内存错误严重影响内存中的键值存储 (KVS),因此人们正在探索用于强化内存错误的软件机制。然而,由于内存错误处理代码的特点,很难有效地测试它:代码是事件驱动的,处理程序依赖于内存对象,并且内存中的 KVS 管理巨大内存空间中的各种对象。本文介绍了 <i>梅姆菲</i> 支持对内存 KVS 的内存错误处理程序进行运行时测试。我们的方法在内存对象级别执行内存错误的软件故障注入以触发目标处理程序,同时顺利地对相同的运行状态进行测试。为了展示 MemFI 的有效性,我们将错误处理机制集成到真实的内存 KVS、memcached 1.6.9 和 Redis 6.2.7 中,并使用 MemFI 原型检查它们的行为。结果表明,基于 MemFI 的运行时测试使我们能够检查错误处理机制的行为。我们还通过将其与基于试验模型的其他故障注入方法进行比较来展示其效率。</p> </div></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7046/_f"><span class="TEXT-TITLE">基于多任务学习和PS-ViT的多聚焦图像融合算法</span></a>&nbsp;<span class="open_access">开放存取</span></h4><p class="gt-block"><a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Qinghua%20WU"><span id="skip_info" class="notranslate TEXT-AUTHOR">Qinghua WU</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Weitong%20LI"><span id="skip_info" class="notranslate TEXT-AUTHOR">Weitong LI</span></a>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>&nbsp;</dt><dd class="notranslate TEXT-COL" id="skip_info">PAPER-Image Recognition, Computer Vision</dd></dl><br><dl> <dt class="TEXT-COL">&nbsp; 已发表:</dt><dd class="TEXT-COL">2024/07/11</dd></dl><dl class="TEXT-COL"><dt class="TEXT-COL">&nbsp; 页码:</dt><dd class="TEXT-COL">1422-1432</dd></dl></div><div class="action"><ul><li class="summary toggle"><a onclick="ga('send', 'event', 'summary', 'click', 'ED');"><span id="skip_info" class="notranslate"><i class="fas fa-angle-down"></i></span></a></li> <input type="hidden" name="pid" value="e107-d_11_1422" id="hidden3"><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7046/_f" onclick="ga('send', 'event', 'intro', 'click', 'ED');"><span id="skip_info" class="notranslate">HTML</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7046/_pdf" onclick="ga('send', 'event', 'PDF', 'Down Load', 'ED');" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate"><span id="skip_info" class="notranslate">Free </span>PDF (8.2MB) </span></a></li></ul><div class="summary_txt"> <p class="TEXT-COL">多聚焦图像融合是指将同一场景的部分聚焦图像组合起来,形成全聚焦图像。针对现有多聚焦图像融合算法中基准图像难以获取以及卷积神经网络过于关注局部区域的问题,提出一种结合局部和全局特征编码的融合算法。首先,设计两个自监督图像重建任务,通过多任务学习训练编码器-解码器网络。随后,在编码器中,我们将密集连接模块与 PS-ViT 模块合并,使网络在特征提取过程中能够利用局部和全局信息。最后,为了提高模型的整体效率,对每个任务应用不同的损失函数。为了保留原始图像中更鲁棒的特征,在融合阶段采用空间频率来获得融合图像的特征图。实验结果表明,与其他 0.28 种主要算法相比,我们的方法在客观评价中表现出良好的融合性能。在选定的 XNUMX 个评价指标中,有 XNUMX 个的改进幅度超过 XNUMX%。此外,主观上它呈现出了优越的视觉效果。</p> </div></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7028/_f"><span class="TEXT-TITLE">基于语义关联和概率逻辑的本体匹配与修复</span></a>&nbsp;<span class="open_access">开放存取</span></h4><p class="gt-block"><a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Nan%20WU"><span id="skip_info" class="notranslate TEXT-AUTHOR">Nan WU</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Xiaocong%20LAI"><span id="skip_info" class="notranslate TEXT-AUTHOR">Xiaocong LAI</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Mei%20CHEN"><span id="skip_info" class="notranslate TEXT-AUTHOR">Mei CHEN</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Ying%20PAN"><span id="skip_info" class="notranslate TEXT-AUTHOR">Ying PAN</span></a>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>&nbsp;</dt><dd class="notranslate TEXT-COL" id="skip_info">PAPER-Natural Language Processing</dd></dl><br><dl> <dt class="TEXT-COL">&nbsp; 已发表:</dt><dd class="TEXT-COL">2024/07/11</dd></dl><dl class="TEXT-COL"><dt class="TEXT-COL">&nbsp; 页码:</dt><dd class="TEXT-COL">1433-1443</dd></dl></div><div class="action"><ul><li class="summary toggle"><a onclick="ga('send', 'event', 'summary', 'click', 'ED');"><span id="skip_info" class="notranslate"><i class="fas fa-angle-down"></i></span></a></li> <input type="hidden" name="pid" value="e107-d_11_1433" id="hidden4"><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7028/_f" onclick="ga('send', 'event', 'intro', 'click', 'ED');"><span id="skip_info" class="notranslate">HTML</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDP7028/_pdf" onclick="ga('send', 'event', 'PDF', 'Down Load', 'ED');" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate"><span id="skip_info" class="notranslate">Free </span>PDF (935.8KB) </span></a></li></ul><div class="summary_txt"> <p class="TEXT-COL">随着语义网的发展,越来越多的研究者利用本体技术构建领域本体。由于没有统一的构建标准,导致本体异构现象严重。本体匹配方法可以融合异构本体,实现知识之间的互操作,从而获取更多相关的语义信息。在本体之间存在差异的情况下,如何减少误匹配和不成功匹配是亟待解决的问题。而且随着本体数量的增加,本体间的语义关系也越来越复杂,而当前单纯通过查找概念间名称的相似性的方法已经远远不够。因此,本文提出一种基于语义关联的本体匹配方法,利用已有的语义知识发现准确的匹配对,再根据上下文结构的特点挖掘概念间潜在的语义关联,该匹配方法能够在可靠知识的基础上更好地开展匹配工作。此外,本文还提出了一种概率逻辑修复方法,可以检测并修复匹配结果的冲突,提高匹配结果的可用性和可靠性。实验结果表明,该方法有效地提高了本体间的匹配质量,节省了修复错误匹配对的时间。此外,与现有的本体匹配系统相比,该方法具有更好的稳定性。</p> </div></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8002/_f"><span class="TEXT-TITLE">根据鼻腔皮肤温度测量软件开发人员的脑力工作量</span></a>&nbsp;<span class="open_access">开放存取</span></h4><p class="gt-block"><a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Keitaro%20NAKASAI"><span id="skip_info" class="notranslate TEXT-AUTHOR">Keitaro NAKASAI</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Shin%20KOMEDA"><span id="skip_info" class="notranslate TEXT-AUTHOR">Shin KOMEDA</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Masateru%20TSUNODA"><span id="skip_info" class="notranslate TEXT-AUTHOR">Masateru TSUNODA</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Masayuki%20KASHIMA"><span id="skip_info" class="notranslate TEXT-AUTHOR">Masayuki KASHIMA</span></a>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>&nbsp;</dt><dd class="notranslate TEXT-COL" id="skip_info">LETTER-Software Engineering</dd></dl><br><dl> <dt class="TEXT-COL">&nbsp; 已发表:</dt><dd class="TEXT-COL">2024/07/11</dd></dl><dl class="TEXT-COL"><dt class="TEXT-COL">&nbsp; 页码:</dt><dd class="TEXT-COL">1444-1448</dd></dl></div><div class="action"><ul><li class="summary toggle"><a onclick="ga('send', 'event', 'summary', 'click', 'ED');"><span id="skip_info" class="notranslate"><i class="fas fa-angle-down"></i></span></a></li> <input type="hidden" name="pid" value="e107-d_11_1444" id="hidden5"><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8002/_f" onclick="ga('send', 'event', 'intro', 'click', 'ED');"><span id="skip_info" class="notranslate">HTML</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8002/_pdf" onclick="ga('send', 'event', 'PDF', 'Down Load', 'ED');" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate"><span id="skip_info" class="notranslate">Free </span>PDF (405.2KB) </span></a></li></ul><div class="summary_txt"> <p class="TEXT-COL">为了自动测量开发人员的心理负荷,现有研究使用了脑电波和心率等生物特征测量方法。然而,开发人员在测量时通常需要配备某些设备,因此可能会带来身体负担。在本研究中,我们评估了基于鼻腔皮肤温度 (NST) 的非接触式生物特征测量的可行性。在实验中,所提出的生物特征测量方法比非生物特征测量方法更准确。</p> </div></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8005/_f"><span class="TEXT-TITLE">清除并返回:停止密码原语中的运行时对策</span></a>&nbsp;<span class="open_access">开放存取</span></h4><p class="gt-block"><a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Myung-Hyun%20KIM"><span id="skip_info" class="notranslate TEXT-AUTHOR">Myung-Hyun KIM</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Seungkwang%20LEE"><span id="skip_info" class="notranslate TEXT-AUTHOR">Seungkwang LEE</span></a>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>&nbsp;</dt><dd class="notranslate TEXT-COL" id="skip_info">LETTER-Information Network</dd></dl><br><dl> <dt class="TEXT-COL">&nbsp; 已发表:</dt><dd class="TEXT-COL">2024/06/26</dd></dl><dl class="TEXT-COL"><dt class="TEXT-COL">&nbsp; 页码:</dt><dd class="TEXT-COL">1449-1452</dd></dl></div><div class="action"><ul><li class="summary toggle"><a onclick="ga('send', 'event', 'summary', 'click', 'ED');"><span id="skip_info" class="notranslate"><i class="fas fa-angle-down"></i></span></a></li> <input type="hidden" name="pid" value="e107-d_11_1449" id="hidden6"><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8005/_f" onclick="ga('send', 'event', 'intro', 'click', 'ED');"><span id="skip_info" class="notranslate">HTML</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8005/_pdf" onclick="ga('send', 'event', 'PDF', 'Down Load', 'ED');" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate"><span id="skip_info" class="notranslate">Free </span>PDF (1.4MB) </span></a></li></ul><div class="summary_txt"> <p class="gt-block TEXT-COL">白盒加密实现通常使用掩码和改组作为对抗密钥提取攻击的对策。为了对抗这些防御,已经开发了高阶差分计算分析 (HO-DCA) 及其变体。这些方法旨在在不需要逆向工程的情况下突破这些对策。然而,这些非侵入式攻击成本高昂,可以通过更新掩码和改组技术来阻止。本文介绍了一种简单的二进制注入攻击,恰当地命名为 <i>清除并返回</i>旨在绕过白盒密码术中采用的高级掩码和混洗防御。攻击涉及注入少量汇编代码,从而有效地禁用运行时随机源。这种随机性的丧失会暴露白盒实现中未受保护的查找值,使其容易受到简单的统计分析。在针对开源白盒密码实现的实验中,劫持全局偏移表 (GOT) 或函数调用中的条目的攻击策略显示出绕过运行时对策的有效性。</p> </div></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2023EDL8084/_f"><span class="TEXT-TITLE">点过程数据自回归建模的局部密度估计程序</span></a>&nbsp;<span class="open_access">开放存取</span></h4><p class="gt-block"><a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Nat%20PAVASANT"><span id="skip_info" class="notranslate TEXT-AUTHOR">Nat PAVASANT</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Takashi%20MORITA"><span id="skip_info" class="notranslate TEXT-AUTHOR">Takashi MORITA</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Masayuki%20NUMAO"><span id="skip_info" class="notranslate TEXT-AUTHOR">Masayuki NUMAO</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Ken-ichi%20FUKUI"><span id="skip_info" class="notranslate TEXT-AUTHOR">Ken-ichi FUKUI</span></a>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>&nbsp;</dt><dd class="notranslate TEXT-COL" id="skip_info">LETTER-Artificial Intelligence, Data Mining</dd></dl><br><dl> <dt class="TEXT-COL">&nbsp; 已发表:</dt><dd class="TEXT-COL">2024/07/11</dd></dl><dl class="TEXT-COL"><dt class="TEXT-COL">&nbsp; 页码:</dt><dd class="TEXT-COL">1453-1457</dd></dl></div><div class="action"><ul><li class="summary toggle"><a onclick="ga('send', 'event', 'summary', 'click', 'ED');"><span id="skip_info" class="notranslate"><i class="fas fa-angle-down"></i></span></a></li> <input type="hidden" name="pid" value="e107-d_11_1453" id="hidden7"><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2023EDL8084/_f" onclick="ga('send', 'event', 'intro', 'click', 'ED');"><span id="skip_info" class="notranslate">HTML</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2023EDL8084/_pdf" onclick="ga('send', 'event', 'PDF', 'Down Load', 'ED');" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate"><span id="skip_info" class="notranslate">Free </span>PDF (220KB) </span></a></li></ul><div class="summary_txt"> <p class="TEXT-COL">我们提出了一种使用核密度估计对时间点过程的向量自回归 (VAR) 建模中使用的数据进行预处理的方法。例如,点过程数据的向量自回归建模用于因果关系推断。VAR 模型将时间线离散化为小窗口,并根据每个窗口中事件的存在情况创建时间序列,然后根据事件的历史对下一个时间步骤中事件的存在情况进行建模。问题是,要获得具有高时间分辨率的更长历史,需要大量窗口,因此需要大量模型参数。我们提出了局部密度估计程序,它不使用二进制存在作为模型的输入,而是对事件历史进行核密度估计,并将估计值离散化以用作输入。这使我们能够减少模型参数的数量,尤其是在稀疏数据中。我们对稀疏泊松过程的实验表明,此程序大大提高了模型预测性能。</p> </div></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2023EDL8064/_f"><span class="TEXT-TITLE">深度学习建模动态系统的损失函数</span></a>&nbsp;<span class="open_access">开放存取</span></h4><p class="gt-block"><a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Takahito%20YOSHIDA"><span id="skip_info" class="notranslate TEXT-AUTHOR">Takahito YOSHIDA</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Takaharu%20YAGUCHI"><span id="skip_info" class="notranslate TEXT-AUTHOR">Takaharu YAGUCHI</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Takashi%20MATSUBARA"><span id="skip_info" class="notranslate TEXT-AUTHOR">Takashi MATSUBARA</span></a>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>&nbsp;</dt><dd class="notranslate TEXT-COL" id="skip_info">LETTER-Artificial Intelligence, Data Mining</dd></dl><br><dl> <dt class="TEXT-COL">&nbsp; 已发表:</dt><dd class="TEXT-COL">2024/07/22</dd></dl><dl class="TEXT-COL"><dt class="TEXT-COL">&nbsp; 页码:</dt><dd class="TEXT-COL">1458-1462</dd></dl></div><div class="action"><ul><li class="summary toggle"><a onclick="ga('send', 'event', 'summary', 'click', 'ED');"><span id="skip_info" class="notranslate"><i class="fas fa-angle-down"></i></span></a></li> <input type="hidden" name="pid" value="e107-d_11_1458" id="hidden8"><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2023EDL8064/_f" onclick="ga('send', 'event', 'intro', 'click', 'ED');"><span id="skip_info" class="notranslate">HTML</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2023EDL8064/_pdf" onclick="ga('send', 'event', 'PDF', 'Down Load', 'ED');" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate"><span id="skip_info" class="notranslate">Free </span>PDF (913KB) </span></a></li></ul><div class="summary_txt"> <p class="TEXT-COL">准确模拟物理系统在各个领域都至关重要。近年来,深度学习已用于通过从数据中学习来自动构建此类系统的模型。其中一种方法是神经常微分方程 (neural ODE),它将神经网络的输出视为系统状态的时间导数。然而,虽然这种方法和相关方法已显示出前景,但它们的训练策略仍需要进一步发展。受数值分析中的误差分析技术的启发,同时用建模误差代替数值误差,我们提出了误差分析策略来解决这个问题。因此,我们的策略可以捕捉长期误差,从而提高长期预测的准确性。</p> </div></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8034/_f"><span class="TEXT-TITLE">基于大型语言模型的多模态语音情感识别</span></a>&nbsp;<span class="open_access">开放存取</span></h4><p class="gt-block"><a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Congcong%20FANG"><span id="skip_info" class="notranslate TEXT-AUTHOR">Congcong FANG</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Yun%20JIN"><span id="skip_info" class="notranslate TEXT-AUTHOR">Yun JIN</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Guanlin%20CHEN"><span id="skip_info" class="notranslate TEXT-AUTHOR">Guanlin CHEN</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Yunfan%20ZHANG"><span id="skip_info" class="notranslate TEXT-AUTHOR">Yunfan ZHANG</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Shidang%20LI"><span id="skip_info" class="notranslate TEXT-AUTHOR">Shidang LI</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Yong%20MA"><span id="skip_info" class="notranslate TEXT-AUTHOR">Yong MA</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Yue%20XIE"><span id="skip_info" class="notranslate TEXT-AUTHOR">Yue XIE</span></a>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>&nbsp;</dt><dd class="notranslate TEXT-COL" id="skip_info">LETTER-Speech and Hearing</dd></dl><br><dl> <dt class="TEXT-COL">&nbsp; 已发表:</dt><dd class="TEXT-COL">2024/07/22</dd></dl><dl class="TEXT-COL"><dt class="TEXT-COL">&nbsp; 页码:</dt><dd class="TEXT-COL">1463-1467</dd></dl></div><div class="action"><ul><li class="summary toggle"><a onclick="ga('send', 'event', 'summary', 'click', 'ED');"><span id="skip_info" class="notranslate"><i class="fas fa-angle-down"></i></span></a></li> <input type="hidden" name="pid" value="e107-d_11_1463" id="hidden9"><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8034/_f" onclick="ga('send', 'event', 'intro', 'click', 'ED');"><span id="skip_info" class="notranslate">HTML</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8034/_pdf" onclick="ga('send', 'event', 'PDF', 'Down Load', 'ED');" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate"><span id="skip_info" class="notranslate">Free </span>PDF (1.4MB) </span></a></li></ul><div class="summary_txt"> <p class="TEXT-COL">目前,语音情感识别中越来越多的任务依赖于语音和文本特征的分析。然而,利用 GPT-3 等大型语言模型来增强情感识别的潜力的研究仍然很少。在本研究中,我们利用 GPT-3 模型的强大功能从转录文本中提取语义信息,生成维数为 1536 的文本模态特征。随后,我们进行特征融合,将 1536 维文本特征与 1188 维声学特征相结合,得到全面的多模态识别结果。我们的研究结果表明,所提出的方法在 IEMOCAP 的四种情感类别中实现了 79.62% 的加权准确率,突显了通过集成大型语言模型可以显著提高情感识别准确率。</p> </div></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8011/_f"><span class="TEXT-TITLE">SH-YOLO:用于自动扶梯场景异常行为检测的小目标高性能 YOLO</span></a>&nbsp;<span class="open_access">开放存取</span></h4><p class="gt-block"><a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Shuoyan%20LIU"><span id="skip_info" class="notranslate TEXT-AUTHOR">Shuoyan LIU</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Chao%20LI"><span id="skip_info" class="notranslate TEXT-AUTHOR">Chao LI</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Yuxin%20LIU"><span id="skip_info" class="notranslate TEXT-AUTHOR">Yuxin LIU</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Yanqiu%20WANG"><span id="skip_info" class="notranslate TEXT-AUTHOR">Yanqiu WANG</span></a>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>&nbsp;</dt><dd class="notranslate TEXT-COL" id="skip_info">LETTER-Image Recognition, Computer Vision</dd></dl><br><dl> <dt class="TEXT-COL">&nbsp; 已发表:</dt><dd class="TEXT-COL">2024/06/26</dd></dl><dl class="TEXT-COL"><dt class="TEXT-COL">&nbsp; 页码:</dt><dd class="TEXT-COL">1468-1471</dd></dl></div><div class="action"><ul><li class="summary toggle"><a onclick="ga('send', 'event', 'summary', 'click', 'ED');"><span id="skip_info" class="notranslate"><i class="fas fa-angle-down"></i></span></a></li> <input type="hidden" name="pid" value="e107-d_11_1468" id="hidden10"><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8011/_f" onclick="ga('send', 'event', 'intro', 'click', 'ED');"><span id="skip_info" class="notranslate">HTML</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8011/_pdf" onclick="ga('send', 'event', 'PDF', 'Down Load', 'ED');" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate"><span id="skip_info" class="notranslate">Free </span>PDF (838.5KB) </span></a></li></ul><div class="summary_txt"> <p class="TEXT-COL">自动扶梯是公共场所不可缺少的设施,在给人们提供便利的同时,异常事故可能导致严重后果。Yolo是一种实时检测人体行为的函数,但该模型对小目标的准确率较低,漏检率较高。为此,本文提出了小目标高性能YOLO(SH-YOLO)模型来检测自动扶梯中的异常行为。SH-YOLO模型首先通过注意机制增强主干网络。随后,加入小目标检测层,以增强对小物体关键点的检测。最后,将卷积和SPPF分别替换为区域动态感知深度可分离卷积(DR-DP-Conv)和空洞空间金字塔池化(ASPP)。实验结果表明,所提出的模型能够准确、稳健地检测现实世界自动扶梯场景中的异常。</p> </div></div></li><li><h4><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8043/_f"><span class="TEXT-TITLE">具有键选择路由注意机制的 Vision Transformer 用于单幅图像去雾</span></a>&nbsp;<span class="open_access">开放存取</span></h4><p class="gt-block"><a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Lihan%20TONG"><span id="skip_info" class="notranslate TEXT-AUTHOR">Lihan TONG</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Weijia%20LI"><span id="skip_info" class="notranslate TEXT-AUTHOR">Weijia LI</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Qingxia%20YANG"><span id="skip_info" class="notranslate TEXT-AUTHOR">Qingxia YANG</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Liyuan%20CHEN"><span id="skip_info" class="notranslate TEXT-AUTHOR">Liyuan CHEN</span></a>&nbsp;&nbsp;<a href="https://zh-cn.global.ieice.org/en_transactions/Author/a_name=Peng%20CHEN"><span id="skip_info" class="notranslate TEXT-AUTHOR">Peng CHEN</span></a>&nbsp;&nbsp;<br> </p><div class="data"> <dl><dt>&nbsp;</dt><dd class="notranslate TEXT-COL" id="skip_info">LETTER-Image Recognition, Computer Vision</dd></dl><br><dl> <dt class="TEXT-COL">&nbsp; 已发表:</dt><dd class="TEXT-COL">2024/07/01</dd></dl><dl class="TEXT-COL"><dt class="TEXT-COL">&nbsp; 页码:</dt><dd class="TEXT-COL">1472-1475</dd></dl></div><div class="action"><ul><li class="summary toggle"><a onclick="ga('send', 'event', 'summary', 'click', 'ED');"><span id="skip_info" class="notranslate"><i class="fas fa-angle-down"></i></span></a></li> <input type="hidden" name="pid" value="e107-d_11_1472" id="hidden11"><li class="html"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8043/_f" onclick="ga('send', 'event', 'intro', 'click', 'ED');"><span id="skip_info" class="notranslate">HTML</span></a></li><li class="pdf"><a href="https://zh-cn.global.ieice.org/en_transactions/information/10.1587/transinf.2024EDL8043/_pdf" onclick="ga('send', 'event', 'PDF', 'Down Load', 'ED');" target="_blank"><i class="fas fa-file-pdf"></i><span id="skip_info" class="notranslate"><span id="skip_info" class="notranslate">Free </span>PDF (11.8MB) </span></a></li></ul><div class="summary_txt"> <p class="TEXT-COL">我们提出了 Ksformer,利用多尺度键选择路由注意 (MKRA) 通过带有 top-k 运算符的多通道、多尺度窗口智能选择关键区域,并使用轻量级频率处理模块 (LFPM) 来增强高频特征,在测试中优于其他去雾方法。</p> </div></div></li><input type="hidden" name="request_uri" value="/en_transactions/information" id="set_request_uri"><input type="hidden" name="site_url" value="https://zh-cn.global.ieice.org/" id="set_site_url"> </ul> 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