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settlement</title> <meta name="description" content="Search results for: deep ground settlement"> <meta name="keywords" content="deep ground settlement"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="deep ground settlement"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 4448</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: deep ground settlement</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4178</span> Deep Neural Network Approach for Navigation of Autonomous Vehicles</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mayank%20Raj">Mayank Raj</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20G.%20Narendra"> V. G. Narendra </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Ever since the DARPA challenge on autonomous vehicles in 2005, there has been a lot of buzz about ‘Autonomous Vehicles’ amongst the major tech giants such as Google, Uber, and Tesla. Numerous approaches have been adopted to solve this problem, which can have a long-lasting impact on mankind. In this paper, we have used Deep Learning techniques and TensorFlow framework with the goal of building a neural network model to predict (speed, acceleration, steering angle, and brake) features needed for navigation of autonomous vehicles. The Deep Neural Network has been trained on images and sensor data obtained from the comma.ai dataset. A heatmap was used to check for correlation among the features, and finally, four important features were selected. This was a multivariate regression problem. The final model had five convolutional layers, followed by five dense layers. Finally, the calculated values were tested against the labeled data, where the mean squared error was used as a performance metric. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=autonomous%20vehicles" title="autonomous vehicles">autonomous vehicles</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title=" deep learning"> deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=computer%20vision" title=" computer vision"> computer vision</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title=" artificial intelligence"> artificial intelligence</a> </p> <a href="https://publications.waset.org/abstracts/130762/deep-neural-network-approach-for-navigation-of-autonomous-vehicles" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/130762.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">158</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4177</span> Efficient Fake News Detection Using Machine Learning and Deep Learning Approaches</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chaima%20Babi">Chaima Babi</a>, <a href="https://publications.waset.org/abstracts/search?q=Said%20Gadri"> Said Gadri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The rapid increase in fake news continues to grow at a very fast rate; this requires implementing efficient techniques that allow testing the re-liability of online content. For that, the current research strives to illuminate the fake news problem using deep learning DL and machine learning ML ap-proaches. We have developed the traditional LSTM (Long short-term memory), and the bidirectional BiLSTM model. A such process is to perform a training task on almost of samples of the dataset, validate the model on a subset called the test set to provide an unbiased evaluation of the final model fit on the training dataset, then compute the accuracy of detecting classifica-tion and comparing the results. For the programming stage, we used Tensor-Flow and Keras libraries on Python to support Graphical Processing Units (GPUs) that are being used for developing deep learning applications. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title="machine learning">machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title=" deep learning"> deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=natural%20language" title=" natural language"> natural language</a>, <a href="https://publications.waset.org/abstracts/search?q=fake%20news" title=" fake news"> fake news</a>, <a href="https://publications.waset.org/abstracts/search?q=Bi-LSTM" title=" Bi-LSTM"> Bi-LSTM</a>, <a href="https://publications.waset.org/abstracts/search?q=LSTM" title=" LSTM"> LSTM</a>, <a href="https://publications.waset.org/abstracts/search?q=multiclass%20classification" title=" multiclass classification"> multiclass classification</a> </p> <a href="https://publications.waset.org/abstracts/176098/efficient-fake-news-detection-using-machine-learning-and-deep-learning-approaches" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/176098.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">95</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4176</span> Seismicity and Ground Response Analysis for MP Tourism Office in Indore, India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Deepshikha%20Shukla">Deepshikha Shukla</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20H.%20Solanki"> C. H. Solanki</a>, <a href="https://publications.waset.org/abstracts/search?q=Mayank%20Desai"> Mayank Desai</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the last few years, it has been observed that earthquake is proving a threat to the scientist across the world. With a large number of earthquakes occurring in day to day life, the threat to life and property has increased manifolds which call for an urgent attention of all the researchers globally to carry out the research in the field of Earthquake Engineering. Any hazard related to the earthquake and seismicity is considered to be seismic hazards. The common forms of seismic hazards are Ground Shaking, Structure Damage, Structural Hazards, Liquefaction, Landslides, Tsunami to name a few. Among all the natural hazards, the most devastating and damaging is the earthquake as all other hazards are triggered only after the occurrence of an earthquake. In order to quantify and estimate the seismicity and seismic hazards, many methods and approaches have been proposed in the past few years. Such approaches are Mathematical, Conventional and Computational. Convex Set Theory, Empirical Green’s Function are some of the Mathematical Approaches whereas the Deterministic and Probabilistic Approaches are the Conventional Approach for the estimation of the seismic Hazards. Ground response and Ground Shaking of a particular area or region plays an important role in the damage caused due to the earthquake. In this paper, seismic study using Deterministic Approach and 1 D Ground Response Analysis has been carried out for Madhya Pradesh Tourism Office in Indore Region in Madhya Pradesh in Central India. Indore lies in the seismic zone III (IS: 1893, 2002) in the Seismic Zoning map of India. There are various faults and lineament in this area and Narmada Some Fault and Gavilgadh fault are the active sources of earthquake in the study area. Deepsoil v6.1.7 has been used to perform the 1 D Linear Ground Response Analysis for the study area. The Peak Ground Acceleration (PGA) of the city ranges from 0.1g to 0.56g. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=seismicity" title="seismicity">seismicity</a>, <a href="https://publications.waset.org/abstracts/search?q=seismic%20hazards" title=" seismic hazards"> seismic hazards</a>, <a href="https://publications.waset.org/abstracts/search?q=deterministic" title=" deterministic"> deterministic</a>, <a href="https://publications.waset.org/abstracts/search?q=probabilistic%20methods" title=" probabilistic methods"> probabilistic methods</a>, <a href="https://publications.waset.org/abstracts/search?q=ground%20response%20analysis" title=" ground response analysis"> ground response analysis</a> </p> <a href="https://publications.waset.org/abstracts/77022/seismicity-and-ground-response-analysis-for-mp-tourism-office-in-indore-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77022.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">165</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4175</span> A Detailed Experimental Study and Evaluation of Springback under Stretch Bending Process</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Soualem">A. Soualem</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The design of multi stage deep drawing processes requires the evaluation of many process parameters such as the intermediate die geometry, the blank shape, the sheet thickness, the blank holder force, friction, lubrication etc..These process parameters have to be determined for the optimum forming conditions before the process design. In general sheet metal forming may involve stretching drawing or various combinations of these basic modes of deformation. It is important to determine the influence of the process variables in the design of sheet metal working process. Especially, the punch and die corner for deep drawing will affect the formability. At the same time the prediction of sheet metals springback after deep drawing is an important issue to solve for the control of manufacturing processes. Nowadays, the importance of this problem increases because of the use of steel sheeting with high stress and also aluminum alloys. The aim of this paper is to give a better understanding of the springback and its effect in various sheet metals forming process such as expansion and restraint deep drawing in the cup drawing process, by varying radius die, lubricant for two commercially available materials e.g. galvanized steel and Aluminum sheet. To achieve these goals experiments were carried out and compared with other results. The original of our purpose consist on tests which are ensured by adapting a U-type stretching-bending device on a tensile testing machine, where we studied and quantified the variation of the springback. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=springback" title="springback">springback</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20drawing" title=" deep drawing"> deep drawing</a>, <a href="https://publications.waset.org/abstracts/search?q=expansion" title=" expansion"> expansion</a>, <a href="https://publications.waset.org/abstracts/search?q=restricted%20deep%20drawing" title=" restricted deep drawing"> restricted deep drawing</a> </p> <a href="https://publications.waset.org/abstracts/6509/a-detailed-experimental-study-and-evaluation-of-springback-under-stretch-bending-process" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6509.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">454</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4174</span> Compact Settlement: The Direction of Chinese Future Urban Residential Area Sustainable Development</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yajing%20Jiang">Yajing Jiang</a>, <a href="https://publications.waset.org/abstracts/search?q=Jing%20Wu"> Jing Wu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Residential area construction links many problems such as population resources, ecology, social values, public services and transportation in the city. After Chinese housing reform, a large number of residential area development accompanied by the loss of agricultural and ecological land. To explore the future of Chinese urban residential area, this article concentrates on how the 'Compact Settlement' behaves in improving the living environment and saving the resources. Through the research of residential area in Hangzhou, there are some determines that increasing the development intensity of the area can indeed bring some improvement in the overall environment. In conclusion, possible design alternatives are discussed for leading Chinese urban development towards a more sustainable path. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=compact%20city%20development" title="compact city development">compact city development</a>, <a href="https://publications.waset.org/abstracts/search?q=environmental%20sustainability" title=" environmental sustainability"> environmental sustainability</a>, <a href="https://publications.waset.org/abstracts/search?q=residential%20area" title=" residential area"> residential area</a>, <a href="https://publications.waset.org/abstracts/search?q=Hangzhou" title=" Hangzhou"> Hangzhou</a> </p> <a href="https://publications.waset.org/abstracts/72634/compact-settlement-the-direction-of-chinese-future-urban-residential-area-sustainable-development" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/72634.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">316</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4173</span> Assessing the Contribution of Informal Buildings to Energy Inefficiency in Kenya: A Case of Mukuru Slums</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bessy%20Thuranira">Bessy Thuranira</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Buildings, as they are designed and used, may contribute to serious environmental problems because of excessive consumption of energy and other natural resources. Buildings in the informal settlements particularly, due to their unplanned physical structure and design, have significantly contributed the global energy problematic scenario typified by high-level inefficiencies. Energy used in buildings in Africa is estimated to be the highest of the total national electricity consumption. Over the last decade, assessments of energy consumption and efficiency/inefficiency has focused on formal and modern buildings. This study seeks to go off the beaten path, by focusing on energy use in informal settlements. Operationally, it sought to establish the contribution of informal buildings in the overall energy consumption in the city and the country at large. This study was carried out in Mukuru kwa Reuben informal settlement where there is distinct manifestation of different settlement morphologies within a small locality. The research narrowed down to three villages (Mombasa, Kosovo and Railway villages) within the settlement, that were representative of the different slum housing typologies. Due to the unpredictability nature and informality in slums, this study takes a multi-methodology approach. Detailed energy audits and measurements are carried out to predict total building consumption, and document building design and envelope, typology, materials and occupancy levels. Moreover, the study uses semi-structured interviews and to access energy supply, cost, access and consumption patterns. Observations and photographs are also used to shed more light on these parameters. The study reveals the high energy inefficiencies in slum buildings mainly related to sub-standard equipment and appliances, building design and settlement layout, poor access and utilization/consumption patterns of energy. The impacts of this inefficiency are high economic burden to the poor, high levels of pollution, lack of thermal comfort and emissions to the environment. The study highlights a set of urban planning and building design principles that can be used to retrofit slums into more energy efficient settlements. The study explores principles of responsive settlement layouts/plans and appropriate building designs that use the beneficial elements of nature to achieve natural lighting, natural ventilation, and solar control to create thermally comfortable, energy efficient, and environmentally responsive buildings/settlements. As energy efficiency in informal settlements is a relatively less explored area of efficiency, it requires further research and policy recommendations, for which this paper will set a background. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20efficiency" title="energy efficiency">energy efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=informal%20settlements" title=" informal settlements"> informal settlements</a>, <a href="https://publications.waset.org/abstracts/search?q=renewable%20energy" title=" renewable energy"> renewable energy</a>, <a href="https://publications.waset.org/abstracts/search?q=settlement%20layout" title=" settlement layout "> settlement layout </a> </p> <a href="https://publications.waset.org/abstracts/119229/assessing-the-contribution-of-informal-buildings-to-energy-inefficiency-in-kenya-a-case-of-mukuru-slums" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/119229.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">131</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4172</span> Sleep Tracking AI Application in Smart-Watches</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sumaiya%20Amir%20Khan">Sumaiya Amir Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=Shayma%20Al-Sharif"> Shayma Al-Sharif</a>, <a href="https://publications.waset.org/abstracts/search?q=Samiha%20Mazher"> Samiha Mazher</a>, <a href="https://publications.waset.org/abstracts/search?q=Neha%20Intikhab%20Khan"> Neha Intikhab Khan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research paper aims to evaluate the effectiveness of sleep-tracking AI applications in smart-watches. It focuses on comparing the sleep analyses of two different smartwatch brands, Samsung and Fitbit, and measuring sleep at three different stages – REM (Rapid-Eye-Movement), NREM (Non-Rapid-Eye-Movement), and deep sleep. The methodology involves the participation of different users and analyzing their sleep data. The results reveal that although light sleep is the longest stage, deep sleep is higher than average in the participants. The study also suggests that light sleep is not uniform, and getting higher levels of deep sleep can prevent debilitating health conditions. Based on the findings, it is recommended that individuals should aim to achieve higher levels of deep sleep to maintain good health. Overall, this research contributes to the growing literature on the effectiveness of sleep-tracking AI applications and their potential to improve sleep quality. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sleep%20tracking" title="sleep tracking">sleep tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=lifestyle" title=" lifestyle"> lifestyle</a>, <a href="https://publications.waset.org/abstracts/search?q=accuracy" title=" accuracy"> accuracy</a>, <a href="https://publications.waset.org/abstracts/search?q=health" title=" health"> health</a>, <a href="https://publications.waset.org/abstracts/search?q=AI" title=" AI"> AI</a>, <a href="https://publications.waset.org/abstracts/search?q=AI%20features" title=" AI features"> AI features</a>, <a href="https://publications.waset.org/abstracts/search?q=ML" title=" ML"> ML</a> </p> <a href="https://publications.waset.org/abstracts/167689/sleep-tracking-ai-application-in-smart-watches" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/167689.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">79</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4171</span> Isolated Contraction of Deep Lumbar Paraspinal Muscle with Magnetic Nerve Root Stimulation: A Pilot Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shi-Uk%20Lee">Shi-Uk Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Chae%20Young%20Lim"> Chae Young Lim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Objective: The aim of this study was to evaluate the changes of lumbar deep muscle thickness and cross-sectional area using ultrasonography with magnetic stimulation. Methods: To evaluate the changes of lumbar deep muscle by using magnetic stimulation, 12 healthy volunteers (39.6±10.0 yrs) without low back pain during 3 months participated in this study. All the participants were checked with X-ray and electrophysiologic study to confirm that they had no problems with their back. Magnetic stimulation was done on the L5 and S1 root with figure-eight coil as previous study. To confirm the proper motor root stimulation, the surface electrode was put on the tibialis anterior (L5) and abductor hallucis muscles (S1) and the hot spots of magnetic stimulation were found with 50% of maximal magnetic stimulation and determined the stimulation threshold lowering the magnetic intensity by 5%. Ultrasonography was used to assess the changes of L5 and S1 lumbar multifidus (superficial and deep) cross-sectional area and thickness with maximal magnetic stimulation. Cross-sectional area (CSA) and thickness was evaluated with image acquisition program, ImageJ software (National Institute of Healthy, USA). Wilcoxon signed-rank was used to compare outcomes between before and after stimulations. Results: The mean minimal threshold was 29.6±3.8% of maximal stimulation intensity. With minimal magnetic stimulation, thickness of L5 and S1 deep multifidus (DM) were increased from 1.25±0.20, 1.42±0.23 cm to 1.40±0.27, 1.56±0.34 cm, respectively (P=0.005, P=0.003). CSA of L5 and S1 DM were also increased from 2.26±0.18, 1.40±0.26 cm2 to 2.37±0.18, 1.56±0.34 cm2, respectively (P=0.002, P=0.002). However, thickness of L5 and S1 superficial multifidus (SM) were not changed from 1.92±0.21, 2.04±0.20 cm to 1.91±0.33, 1.96±0.33 cm (P=0.211, P=0.199) and CSA of L5 and S1 were also not changed from 4.29±0.53, 5.48±0.32 cm2 to 4.42±0.42, 5.64±0.38 cm2. With maximal magnetic stimulation, thickness of L5, S1 of DM and SM were increased (L5 DM, 1.29±0.26, 1.46±0.27 cm, P=0.028; L5 SM, 2.01±0.42, 2.24±0.39 cm, P=0.005; S1 DM, 1.29±0.19, 1.67±0.29 P=0.002; S1 SM, 1.90±0.36, 2.30±0.36, P=0.002). CSA of L5, S1 of DM and SM were also increased (all P values were 0.002). Conclusions: Deep lumbar muscles could be stimulated with lumbar motor root magnetic stimulation. With minimal stimulation, thickness and CSA of lumbosacral deep multifidus were increased in this study. Further studies are needed to confirm whether the similar results in chronic low back pain patients are represented. Lumbar magnetic stimulation might have strengthening effect of deep lumbar muscles with no discomfort. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=magnetic%20stimulation" title="magnetic stimulation">magnetic stimulation</a>, <a href="https://publications.waset.org/abstracts/search?q=lumbar%20multifidus" title=" lumbar multifidus"> lumbar multifidus</a>, <a href="https://publications.waset.org/abstracts/search?q=strengthening" title=" strengthening"> strengthening</a>, <a href="https://publications.waset.org/abstracts/search?q=ultrasonography" title=" ultrasonography"> ultrasonography</a> </p> <a href="https://publications.waset.org/abstracts/37453/isolated-contraction-of-deep-lumbar-paraspinal-muscle-with-magnetic-nerve-root-stimulation-a-pilot-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/37453.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">371</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4170</span> Breast Cancer Prediction Using Score-Level Fusion of Machine Learning and Deep Learning Models</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sam%20Khozama">Sam Khozama</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20M.%20Mayya"> Ali M. Mayya</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Breast cancer is one of the most common types in women. Early prediction of breast cancer helps physicians detect cancer in its early stages. Big cancer data needs a very powerful tool to analyze and extract predictions. Machine learning and deep learning are two of the most efficient tools for predicting cancer based on textual data. In this study, we developed a fusion model of two machine learning and deep learning models. To obtain the final prediction, Long-Short Term Memory (LSTM) and ensemble learning with hyper parameters optimization are used, and score-level fusion is used. Experiments are done on the Breast Cancer Surveillance Consortium (BCSC) dataset after balancing and grouping the class categories. Five different training scenarios are used, and the tests show that the designed fusion model improved the performance by 3.3% compared to the individual models. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title="machine learning">machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title=" deep learning"> deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=cancer%20prediction" title=" cancer prediction"> cancer prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=breast%20cancer" title=" breast cancer"> breast cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=LSTM" title=" LSTM"> LSTM</a>, <a href="https://publications.waset.org/abstracts/search?q=fusion" title=" fusion"> fusion</a> </p> <a href="https://publications.waset.org/abstracts/155602/breast-cancer-prediction-using-score-level-fusion-of-machine-learning-and-deep-learning-models" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/155602.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">163</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4169</span> Analysis of Process Methane Hydrate Formation That Include the Important Role of Deep-Sea Sediments with Analogy in Kerek Formation, Sub-Basin Kendeng, Central Java, Indonesia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yan%20Bachtiar%20Muslih">Yan Bachtiar Muslih</a>, <a href="https://publications.waset.org/abstracts/search?q=Hangga%20Wijaya"> Hangga Wijaya</a>, <a href="https://publications.waset.org/abstracts/search?q=Trio%20Fani"> Trio Fani</a>, <a href="https://publications.waset.org/abstracts/search?q=Putri%20Agustin"> Putri Agustin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Demand of Energy in Indonesia always increases 5-6% a year, but production of conventional energy always decreases 3-5% a year, it means that conventional energy in 20-40 years ahead will not able to complete all energy demand in Indonesia, one of the solve way is using unconventional energy that is gas hydrate, gas hydrate is gas that form by biogenic process, gas hydrate stable in condition with extremely depth and low temperature, gas hydrate can form in two condition that is in pole condition and in deep-sea condition, wherein this research will focus in gas hydrate that association with methane form methane hydrate in deep-sea condition and usually form in depth between 150-2000 m, this research will focus in process of methane hydrate formation that is biogenic process and the important role of deep-sea sediment so can produce accumulation of methane hydrate, methane hydrate usually will be accumulated in find sediment in deep-sea environment with condition high-pressure and low-temperature this condition too usually make methane hydrate change into white nodule, methodology of this research is geology field work and laboratory analysis, from geology field work will get sample data consist of 10-15 samples from Kerek Formation outcrops as random for imagine the condition of deep-sea environment that influence the methane hydrate formation and also from geology field work will get data of measuring stratigraphy in outcrops Kerek Formation too from this data will help to imagine the process in deep-sea sediment like energy flow, supply sediment, and etc, and laboratory analysis is activity to analyze all data that get from geology field work, the result of this research can used to exploration activity of methane hydrate in another prospect deep-sea environment in Indonesia. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=methane%20hydrate" title="methane hydrate">methane hydrate</a>, <a href="https://publications.waset.org/abstracts/search?q=deep-sea%20sediment" title=" deep-sea sediment"> deep-sea sediment</a>, <a href="https://publications.waset.org/abstracts/search?q=kerek%20formation" title=" kerek formation"> kerek formation</a>, <a href="https://publications.waset.org/abstracts/search?q=sub-basin%20of%20kendeng" title=" sub-basin of kendeng"> sub-basin of kendeng</a>, <a href="https://publications.waset.org/abstracts/search?q=central%20java" title=" central java"> central java</a>, <a href="https://publications.waset.org/abstracts/search?q=Indonesia" title=" Indonesia"> Indonesia</a> </p> <a href="https://publications.waset.org/abstracts/32040/analysis-of-process-methane-hydrate-formation-that-include-the-important-role-of-deep-sea-sediments-with-analogy-in-kerek-formation-sub-basin-kendeng-central-java-indonesia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32040.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">462</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4168</span> A Deep Learning Approach for Optimum Shape Design</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cahit%20Perkg%C3%B6z">Cahit Perkgöz</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Artificial intelligence has brought new approaches to solving problems in almost every research field in recent years. One of these topics is shape design and optimization, which has the possibility of applications in many fields, such as nanotechnology and electronics. A properly constructed cost function can eliminate the need for labeled data required in deep learning and create desired shapes. In this work, the network parameters are optimized differentially, which differs from traditional approaches. The methods are tested for physics-related structures and successful results are obtained. This work is supported by Eskişehir Technical University scientific research project (Project No: 20ADP090) <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title="deep learning">deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=shape%20design" title=" shape design"> shape design</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title=" artificial intelligence"> artificial intelligence</a> </p> <a href="https://publications.waset.org/abstracts/143575/a-deep-learning-approach-for-optimum-shape-design" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/143575.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">152</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4167</span> Deep Learning and Accurate Performance Measure Processes for Cyber Attack Detection among Web Logs</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Noureddine%20Mohtaram">Noureddine Mohtaram</a>, <a href="https://publications.waset.org/abstracts/search?q=Jeremy%20Patrix"> Jeremy Patrix</a>, <a href="https://publications.waset.org/abstracts/search?q=Jerome%20Verny"> Jerome Verny</a> </p> <p class="card-text"><strong>Abstract:</strong></p> As an enormous number of online services have been developed into web applications, security problems based on web applications are becoming more serious now. Most intrusion detection systems rely on each request to find the cyber-attack rather than on user behavior, and these systems can only protect web applications against known vulnerabilities rather than certain zero-day attacks. In order to detect new attacks, we analyze the HTTP protocols of web servers to divide them into two categories: normal attacks and malicious attacks. On the other hand, the quality of the results obtained by deep learning (DL) in various areas of big data has given an important motivation to apply it to cybersecurity. Deep learning for attack detection in cybersecurity has the potential to be a robust tool from small transformations to new attacks due to its capability to extract more high-level features. This research aims to take a new approach, deep learning to cybersecurity, to classify these two categories to eliminate attacks and protect web servers of the defense sector which encounters different web traffic compared to other sectors (such as e-commerce, web app, etc.). The result shows that by using a machine learning method, a higher accuracy rate, and a lower false alarm detection rate can be achieved. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=anomaly%20detection" title="anomaly detection">anomaly detection</a>, <a href="https://publications.waset.org/abstracts/search?q=HTTP%20protocol" title=" HTTP protocol"> HTTP protocol</a>, <a href="https://publications.waset.org/abstracts/search?q=logs" title=" logs"> logs</a>, <a href="https://publications.waset.org/abstracts/search?q=cyber%20attack" title=" cyber attack"> cyber attack</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title=" deep learning"> deep learning</a> </p> <a href="https://publications.waset.org/abstracts/136582/deep-learning-and-accurate-performance-measure-processes-for-cyber-attack-detection-among-web-logs" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/136582.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">211</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4166</span> Count of Trees in East Africa with Deep Learning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nubwimana%20Rachel">Nubwimana Rachel</a>, <a href="https://publications.waset.org/abstracts/search?q=Mugabowindekwe%20Maurice"> Mugabowindekwe Maurice</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Trees play a crucial role in maintaining biodiversity and providing various ecological services. Traditional methods of counting trees are time-consuming, and there is a need for more efficient techniques. However, deep learning makes it feasible to identify the multi-scale elements hidden in aerial imagery. This research focuses on the application of deep learning techniques for tree detection and counting in both forest and non-forest areas through the exploration of the deep learning application for automated tree detection and counting using satellite imagery. The objective is to identify the most effective model for automated tree counting. We used different deep learning models such as YOLOV7, SSD, and UNET, along with Generative Adversarial Networks to generate synthetic samples for training and other augmentation techniques, including Random Resized Crop, AutoAugment, and Linear Contrast Enhancement. These models were trained and fine-tuned using satellite imagery to identify and count trees. The performance of the models was assessed through multiple trials; after training and fine-tuning the models, UNET demonstrated the best performance with a validation loss of 0.1211, validation accuracy of 0.9509, and validation precision of 0.9799. This research showcases the success of deep learning in accurate tree counting through remote sensing, particularly with the UNET model. It represents a significant contribution to the field by offering an efficient and precise alternative to conventional tree-counting methods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title="remote sensing">remote sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title=" deep learning"> deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=tree%20counting" title=" tree counting"> tree counting</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20segmentation" title=" image segmentation"> image segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=object%20detection" title=" object detection"> object detection</a>, <a href="https://publications.waset.org/abstracts/search?q=visualization" title=" visualization"> visualization</a> </p> <a href="https://publications.waset.org/abstracts/177935/count-of-trees-in-east-africa-with-deep-learning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/177935.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">71</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4165</span> Deep Learning Approaches for Accurate Detection of Epileptic Seizures from Electroencephalogram Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ramzi%20Rihane">Ramzi Rihane</a>, <a href="https://publications.waset.org/abstracts/search?q=Yassine%20Benayed"> Yassine Benayed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Epilepsy is a chronic neurological disorder characterized by recurrent, unprovoked seizures resulting from abnormal electrical activity in the brain. Timely and accurate detection of these seizures is essential for improving patient care. In this study, we leverage the UK Bonn University open-source EEG dataset and employ advanced deep-learning techniques to automate the detection of epileptic seizures. By extracting key features from both time and frequency domains, as well as Spectrogram features, we enhance the performance of various deep learning models. Our investigation includes architectures such as Long Short-Term Memory (LSTM), Bidirectional LSTM (Bi-LSTM), 1D Convolutional Neural Networks (1D-CNN), and hybrid CNN-LSTM and CNN-BiLSTM models. The models achieved impressive accuracies: LSTM (98.52%), Bi-LSTM (98.61%), CNN-LSTM (98.91%), CNN-BiLSTM (98.83%), and CNN (98.73%). Additionally, we utilized a data augmentation technique called SMOTE, which yielded the following results: CNN (97.36%), LSTM (97.01%), Bi-LSTM (97.23%), CNN-LSTM (97.45%), and CNN-BiLSTM (97.34%). These findings demonstrate the effectiveness of deep learning in capturing complex patterns in EEG signals, providing a reliable and scalable solution for real-time seizure detection in clinical environments. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=electroencephalogram" title="electroencephalogram">electroencephalogram</a>, <a href="https://publications.waset.org/abstracts/search?q=epileptic%20seizure" title=" epileptic seizure"> epileptic seizure</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title=" deep learning"> deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=LSTM" title=" LSTM"> LSTM</a>, <a href="https://publications.waset.org/abstracts/search?q=CNN" title=" CNN"> CNN</a>, <a href="https://publications.waset.org/abstracts/search?q=BI-LSTM" title=" BI-LSTM"> BI-LSTM</a>, <a href="https://publications.waset.org/abstracts/search?q=seizure%20detection" title=" seizure detection"> seizure detection</a> </p> <a href="https://publications.waset.org/abstracts/193110/deep-learning-approaches-for-accurate-detection-of-epileptic-seizures-from-electroencephalogram-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/193110.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">12</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4164</span> Isotopic Evidence (He, Ne, Ar) for Deep Fluid in the Caucasus Continental Collision Zone</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Larisa%20Liamina">Larisa Liamina</a>, <a href="https://publications.waset.org/abstracts/search?q=Vasily%20Lavrushin"> Vasily Lavrushin</a>, <a href="https://publications.waset.org/abstracts/search?q=Salvatore%20Inguaggiato"> Salvatore Inguaggiato</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study presents and summarizes the results of researching the isotopic signature of helium in the deep fluid eastern part of the Southern slope of the Greater Caucasus and the Lesser Caucasus (Azerbaijan and Armenia) for the period from 2010 to 2016. The results of isotope ratios of 3He/4He in 59 samples of the gas phase of geothermal fluids and mud volcanoes are presented. New data have been obtained not only on the isotopic ratios of helium, but also neon and argon. The R/Ra ratio was analyzed along the Ankara-Sevan ophiolite structure. The patterns of lateral variations of the 3He/4He ratio of different geological structural elements of the studied region are revealed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=isotopes%20helium" title="isotopes helium">isotopes helium</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20fluids" title=" deep fluids"> deep fluids</a>, <a href="https://publications.waset.org/abstracts/search?q=tectonic%20structures" title=" tectonic structures"> tectonic structures</a>, <a href="https://publications.waset.org/abstracts/search?q=Caucasus" title=" Caucasus"> Caucasus</a> </p> <a href="https://publications.waset.org/abstracts/186125/isotopic-evidence-he-ne-ar-for-deep-fluid-in-the-caucasus-continental-collision-zone" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/186125.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">45</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4163</span> Effect of Fill Material Density under Structures on Ground Motion Characteristics Due to Earthquake</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20T.%20Farid">Ahmed T. Farid</a>, <a href="https://publications.waset.org/abstracts/search?q=Khaled%20Z.%20Soliman"> Khaled Z. Soliman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Due to limited areas and excessive cost of land for projects, backfilling process has become necessary. Also, backfilling will be done to overcome the un-leveling depths or raising levels of site construction, especially near the sea region. Therefore, backfilling soil materials used under the foundation of structures should be investigated regarding its effect on ground motion characteristics, especially at regions subjected to earthquakes. In this research, 60-meter thickness of sandy fill material was used above a fixed 240-meter of natural clayey soil underlying by rock formation to predict the modified ground motion characteristics effect at the foundation level. Comparison between the effect of using three different situations of fill material compaction on the recorded earthquake is studied, i.e. peak ground acceleration, time history, and spectra acceleration values. The three different densities of the compacted fill material used in the study were very loose, medium dense and very dense sand deposits, respectively. Shake computer program was used to perform this study. Strong earthquake records, with Peak Ground Acceleration (PGA) of 0.35 g, were used in the analysis. It was found that, higher compaction of fill material thickness has a significant effect on eliminating the earthquake ground motion properties at surface layer of fill material, near foundation level. It is recommended to consider the fill material characteristics in the design of foundations subjected to seismic motions. Future studies should be analyzed for different fill and natural soil deposits for different seismic conditions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=acceleration" title="acceleration">acceleration</a>, <a href="https://publications.waset.org/abstracts/search?q=backfill" title=" backfill"> backfill</a>, <a href="https://publications.waset.org/abstracts/search?q=earthquake" title=" earthquake"> earthquake</a>, <a href="https://publications.waset.org/abstracts/search?q=soil" title=" soil"> soil</a>, <a href="https://publications.waset.org/abstracts/search?q=PGA" title=" PGA"> PGA</a> </p> <a href="https://publications.waset.org/abstracts/64851/effect-of-fill-material-density-under-structures-on-ground-motion-characteristics-due-to-earthquake" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/64851.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">380</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4162</span> AI-based Radio Resource and Transmission Opportunity Allocation for 5G-V2X HetNets: NR and NR-U Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Farshad%20Zeinali">Farshad Zeinali</a>, <a href="https://publications.waset.org/abstracts/search?q=Sajedeh%20Norouzi"> Sajedeh Norouzi</a>, <a href="https://publications.waset.org/abstracts/search?q=Nader%20Mokari"> Nader Mokari</a>, <a href="https://publications.waset.org/abstracts/search?q=Eduard%20Jorswieck"> Eduard Jorswieck</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The capacity of fifth-generation (5G) vehicle-to-everything (V2X) networks poses significant challenges. To ad- dress this challenge, this paper utilizes New Radio (NR) and New Radio Unlicensed (NR-U) networks to develop a heterogeneous vehicular network (HetNet). We propose a new framework, named joint BS assignment and resource allocation (JBSRA) for mobile V2X users and also consider coexistence schemes based on flexible duty cycle (DC) mechanism for unlicensed bands. Our objective is to maximize the average throughput of vehicles while guaranteeing the WiFi users' throughput. In simulations based on deep reinforcement learning (DRL) algorithms such as deep deterministic policy gradient (DDPG) and deep Q network (DQN), our proposed framework outperforms existing solutions that rely on fixed DC or schemes without consideration of unlicensed bands. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=vehicle-to-everything%20%28V2X%29" title="vehicle-to-everything (V2X)">vehicle-to-everything (V2X)</a>, <a href="https://publications.waset.org/abstracts/search?q=resource%20allocation" title=" resource allocation"> resource allocation</a>, <a href="https://publications.waset.org/abstracts/search?q=BS%20assignment" title=" BS assignment"> BS assignment</a>, <a href="https://publications.waset.org/abstracts/search?q=new%20radio%20%28NR%29" title=" new radio (NR)"> new radio (NR)</a>, <a href="https://publications.waset.org/abstracts/search?q=new%20radio%20unlicensed%20%28NR-U%29" title=" new radio unlicensed (NR-U)"> new radio unlicensed (NR-U)</a>, <a href="https://publications.waset.org/abstracts/search?q=coexistence%20NR-U%20and%20WiFi" title=" coexistence NR-U and WiFi"> coexistence NR-U and WiFi</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20deterministic%20policy%20gradient%20%28DDPG%29" title=" deep deterministic policy gradient (DDPG)"> deep deterministic policy gradient (DDPG)</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20Q-network%20%28DQN%29" title=" deep Q-network (DQN)"> deep Q-network (DQN)</a>, <a href="https://publications.waset.org/abstracts/search?q=joint%20BS%20assignment%20and%20resource%20allocation%20%28JBSRA%29" title=" joint BS assignment and resource allocation (JBSRA)"> joint BS assignment and resource allocation (JBSRA)</a>, <a href="https://publications.waset.org/abstracts/search?q=duty%20cycle%20mechanism" title=" duty cycle mechanism"> duty cycle mechanism</a> </p> <a href="https://publications.waset.org/abstracts/165699/ai-based-radio-resource-and-transmission-opportunity-allocation-for-5g-v2x-hetnets-nr-and-nr-u-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/165699.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">103</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4161</span> Fuzzy Expert Approach for Risk Mitigation on Functional Urban Areas Affected by Anthropogenic Ground Movements</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Agnieszka%20A.%20Malinowska">Agnieszka A. Malinowska</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Hejmanowski"> R. Hejmanowski</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A number of European cities are strongly affected by ground movements caused by anthropogenic activities or post-anthropogenic metamorphosis. Those are mainly water pumping, current mining operation, the collapse of post-mining underground voids or mining-induced earthquakes. These activities lead to large and small-scale ground displacements and a ground ruptures. The ground movements occurring in urban areas could considerably affect stability and safety of structures and infrastructures. The complexity of the ground deformation phenomenon in relation to the structures and infrastructures vulnerability leads to considerable constraints in assessing the threat of those objects. However, the increase of access to the free software and satellite data could pave the way for developing new methods and strategies for environmental risk mitigation and management. Open source geographical information systems (OS GIS), may support data integration, management, and risk analysis. Lately, developed methods based on fuzzy logic and experts methods for buildings and infrastructure damage risk assessment could be integrated into OS GIS. Those methods were verified base on back analysis proving their accuracy. Moreover, those methods could be supported by ground displacement observation. Based on freely available data from European Space Agency and free software, ground deformation could be estimated. The main innovation presented in the paper is the application of open source software (OS GIS) for integration developed models and assessment of the threat of urban areas. Those approaches will be reinforced by analysis of ground movement based on free satellite data. Those data would support the verification of ground movement prediction models. Moreover, satellite data will enable our mapping of ground deformation in urbanized areas. Developed models and methods have been implemented in one of the urban areas hazarded by underground mining activity. Vulnerability maps supported by satellite ground movement observation would mitigate the hazards of land displacements in urban areas close to mines. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic" title="fuzzy logic">fuzzy logic</a>, <a href="https://publications.waset.org/abstracts/search?q=open%20source%20geographic%20information%20science%20%28OS%20GIS%29" title=" open source geographic information science (OS GIS)"> open source geographic information science (OS GIS)</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20assessment%20on%20urbanized%20areas" title=" risk assessment on urbanized areas"> risk assessment on urbanized areas</a>, <a href="https://publications.waset.org/abstracts/search?q=satellite%20interferometry%20%28InSAR%29" title=" satellite interferometry (InSAR)"> satellite interferometry (InSAR)</a> </p> <a href="https://publications.waset.org/abstracts/89900/fuzzy-expert-approach-for-risk-mitigation-on-functional-urban-areas-affected-by-anthropogenic-ground-movements" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/89900.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">159</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4160</span> DEEPMOTILE: Motility Analysis of Human Spermatozoa Using Deep Learning in Sri Lankan Population</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chamika%20Chiran%20Perera">Chamika Chiran Perera</a>, <a href="https://publications.waset.org/abstracts/search?q=Dananjaya%20Perera"> Dananjaya Perera</a>, <a href="https://publications.waset.org/abstracts/search?q=Chirath%20Dasanayake"> Chirath Dasanayake</a>, <a href="https://publications.waset.org/abstracts/search?q=Banuka%20Athuraliya"> Banuka Athuraliya</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Male infertility is a major problem in the world, and it is a neglected and sensitive health issue in Sri Lanka. It can be determined by analyzing human semen samples. Sperm motility is one of many factors that can evaluate male’s fertility potential. In Sri Lanka, this analysis is performed manually. Manual methods are time consuming and depend on the person, but they are reliable and it can depend on the expert. Machine learning and deep learning technologies are currently being investigated to automate the spermatozoa motility analysis, and these methods are unreliable. These automatic methods tend to produce false positive results and false detection. Current automatic methods support different techniques, and some of them are very expensive. Due to the geographical variance in spermatozoa characteristics, current automatic methods are not reliable for motility analysis in Sri Lanka. The suggested system, DeepMotile, is to explore a method to analyze motility of human spermatozoa automatically and present it to the andrology laboratories to overcome current issues. DeepMotile is a novel deep learning method for analyzing spermatozoa motility parameters in the Sri Lankan population. To implement the current approach, Sri Lanka patient data were collected anonymously as a dataset, and glass slides were used as a low-cost technique to analyze semen samples. Current problem was identified as microscopic object detection and tackling the problem. YOLOv5 was customized and used as the object detector, and it achieved 94 % mAP (mean average precision), 86% Precision, and 90% Recall with the gathered dataset. StrongSORT was used as the object tracker, and it was validated with andrology experts due to the unavailability of annotated ground truth data. Furthermore, this research has identified many potential ways for further investigation, and andrology experts can use this system to analyze motility parameters with realistic accuracy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=computer%20vision" title="computer vision">computer vision</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title=" deep learning"> deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=convolutional%20neural%20networks" title=" convolutional neural networks"> convolutional neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-target%20tracking" title=" multi-target tracking"> multi-target tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=microscopic%20object%20detection%20and%20tracking" title=" microscopic object detection and tracking"> microscopic object detection and tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=male%20infertility%20detection" title=" male infertility detection"> male infertility detection</a>, <a href="https://publications.waset.org/abstracts/search?q=motility%20analysis%20of%20human%20spermatozoa" title=" motility analysis of human spermatozoa"> motility analysis of human spermatozoa</a> </p> <a href="https://publications.waset.org/abstracts/153934/deepmotile-motility-analysis-of-human-spermatozoa-using-deep-learning-in-sri-lankan-population" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153934.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">106</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4159</span> Deep Learning Based-Object-classes Semantic Classification of Arabic Texts</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Imen%20Elleuch">Imen Elleuch</a>, <a href="https://publications.waset.org/abstracts/search?q=Wael%20Ouarda"> Wael Ouarda</a>, <a href="https://publications.waset.org/abstracts/search?q=Gargouri%20Bilel"> Gargouri Bilel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We proposes in this paper a Deep Learning based approach to classify text in order to enrich an Arabic ontology based on the objects classes of Gaston Gross. Those object classes are defined by taking into account the syntactic and semantic features of the treated language. Thus, our proposed approach is a hybrid one. In fact, it is based on the one hand on the object classes that represents a knowledge based-approach on classification of text and in the other hand it uses the deep learning approach that use the word embedding-based-approach to classify text. We have applied our proposed approach on a corpus constructed from an Arabic dictionary. The obtained semantic classification of text will enrich the Arabic objects classes ontology. In fact, new classes can be added to the ontology or an expansion of the features that characterizes each object class can be updated. The obtained results are compared to a similar work that treats the same object with a classical linguistic approach for the semantic classification of text. This comparison highlight our hybrid proposed approach that can be ameliorated by broaden the dataset used in the deep learning process. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=deep-learning%20approach" title="deep-learning approach">deep-learning approach</a>, <a href="https://publications.waset.org/abstracts/search?q=object-classes" title=" object-classes"> object-classes</a>, <a href="https://publications.waset.org/abstracts/search?q=semantic%20classification" title=" semantic classification"> semantic classification</a>, <a href="https://publications.waset.org/abstracts/search?q=Arabic" title=" Arabic"> Arabic</a> </p> <a href="https://publications.waset.org/abstracts/176532/deep-learning-based-object-classes-semantic-classification-of-arabic-texts" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/176532.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">88</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4158</span> The Role and Function of National Land Authority as Mediator in Land Dispute Settlements in Indonesia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nia%20Kurniati">Nia Kurniati</a>, <a href="https://publications.waset.org/abstracts/search?q=Efa%20Laela%20Fakhriah"> Efa Laela Fakhriah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The regulation in Indonesia provides space for the land dispute to be settled outside the court by the government through National Land. In this case, the bureaucrat of Badan Pertanahan Nasional (BPN) acts as mediator to reach a fair agreement between the disputing parties. Land dispute is from a party who denies the ownership of the other party of a land and denies legal-technical facts written on land certificate published by BPN. Appointing the bureaucrat of BPN as mediator in dispute settlements may possibly create conflict of interest since the object. It has become a concern since bureaucrat of BPN acts as mediator, he will be bias and partial in assisting the dispute settlement, thus the spirit and purposes of mediation will be hampered. This issue triggers to be thoroughly examined further in a relation with the role and function of BPN as land dispute mediator. The methodology used in this research is a normative-legal one with qualitative-legal analytical method. The object of this research is in the form of random sampling of land dispute cases being occurred in some areas. Several principles in mediation have to be made as the base of the consideration to appoint bureaucrat of BPN as mediator since the mediator is an impartial third party, working with both disputing parties and assisting them to reach a fair resolution written in agreement as a foundation of land dispute settlement. The existence of BPN as mediator in land dispute settlement encounters conflict of interest which uphold legal uncertainty to act objectively. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Indonesia" title="Indonesia">Indonesia</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20dispute" title=" land dispute"> land dispute</a>, <a href="https://publications.waset.org/abstracts/search?q=mediator" title=" mediator"> mediator</a>, <a href="https://publications.waset.org/abstracts/search?q=national%20land%20authority" title=" national land authority"> national land authority</a> </p> <a href="https://publications.waset.org/abstracts/57850/the-role-and-function-of-national-land-authority-as-mediator-in-land-dispute-settlements-in-indonesia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/57850.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">310</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4157</span> Study of Effects of 3D Semi-Spheriacl Basin-Shape-Ratio on the Frequency Content and Spectral Amplitudes of the Basin-Generated Surface Waves</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kamal">Kamal</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20P.%20Narayan"> J. P. Narayan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the present wok the effects of basin-shape-ratio on the frequency content and spectral amplitudes of the basin-generated surface waves and the associated spatial variation of ground motion amplification and differential ground motion in a 3D semi-spherical basin has been studied. A recently developed 3D fourth-order spatial accurate time-domain finite-difference (FD) algorithm based on the parsimonious staggered-grid approximation of the 3D viscoelastic wave equations was used to estimate seismic responses. The simulated results demonstrated the increase of both the frequency content and the spectral amplitudes of the basin-generated surface waves and the duration of ground motion in the basin with the increase of shape-ratio of semi-spherical basin. An increase of the average spectral amplification (ASA), differential ground motion (DGM) and the average aggravation factor (AAF) towards the centre of the semi-spherical basin was obtained. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=3D%20viscoelastic%20simulation" title="3D viscoelastic simulation">3D viscoelastic simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=basin-generated%20surface%20waves" title=" basin-generated surface waves"> basin-generated surface waves</a>, <a href="https://publications.waset.org/abstracts/search?q=basin-shape-ratio%20effects" title=" basin-shape-ratio effects"> basin-shape-ratio effects</a>, <a href="https://publications.waset.org/abstracts/search?q=average%20spectral%20amplification" title=" average spectral amplification"> average spectral amplification</a>, <a href="https://publications.waset.org/abstracts/search?q=aggravation%20factors%20and%20differential%20ground%20motion" title=" aggravation factors and differential ground motion"> aggravation factors and differential ground motion</a> </p> <a href="https://publications.waset.org/abstracts/21727/study-of-effects-of-3d-semi-spheriacl-basin-shape-ratio-on-the-frequency-content-and-spectral-amplitudes-of-the-basin-generated-surface-waves" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21727.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">507</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4156</span> Research on Spatial Pattern and Spatial Structure of Human Settlement from the View of Spatial Anthropology – A Case Study of the Settlement in Sizhai Village, City of Zhuji, Zhejiang Province, China</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ni%20Zhenyu">Ni Zhenyu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A human settlement is defined as the social activities, social relationships and lifestyles generated within a certain territory, which is also relatively independent territorial living space and domain composed of common people. Along with the advancement of technology and the development of society, the idea, presented in traditional research, that human settlements are deemed as substantial organic integrity with strong autonomy, are more often challenged nowadays. Spatial form of human settlements is one of the most outstanding external expressions with its subjectivity and autonomy, nevertheless, the projections of social, economic activities on certain territories are even more significant. What exactly is the relationship between human beings and the spatial form of the settlements where they live in? a question worth thinking over has been raised, that if a new view, a spatial anthropological one , can be constructed to review and respond to spatial form of human settlements based on research theories and methods of cultural anthropology within the profession of architecture. This article interprets how the typical spatial form of human settlements in the basin area of Bac Giang Province is formed under the collective impacts of local social order, land use condition, topographic features, and social contracts. A particular case of the settlement in Sizhai Village, City of Zhuji, Zhejiang Province is chosen to study for research purpose. Spatial form of human settlements are interpreted as a modeled integrity affected corporately by dominant economy, social patterns, key symbol marks and core values, etc.. Spatial form of human settlements, being a structured existence, is a materialized, behavioral, and social space; it can be considered as a place where human beings realize their behaviors and a path on which the continuity of their behaviors are kept, also for social practice a territory where currant social structure and social relationships are maintained, strengthened and rebuilt. This article aims to break the boundary of understanding that spatial form of human settlements is pure physical space, furthermore, endeavors to highlight the autonomy status of human beings, focusing on their relationships with certain territories, their interpersonal relationships, man-earth relationships and the state of existence of human beings, elaborating the deeper connotation behind spatial form of human settlements. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=spatial%20anthropology" title="spatial anthropology">spatial anthropology</a>, <a href="https://publications.waset.org/abstracts/search?q=human%20settlement" title=" human settlement"> human settlement</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20pattern" title=" spatial pattern"> spatial pattern</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20structure" title=" spatial structure"> spatial structure</a> </p> <a href="https://publications.waset.org/abstracts/29812/research-on-spatial-pattern-and-spatial-structure-of-human-settlement-from-the-view-of-spatial-anthropology-a-case-study-of-the-settlement-in-sizhai-village-city-of-zhuji-zhejiang-province-china" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29812.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">411</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4155</span> A Case Study of Deep Learning for Disease Detection in Crops</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Felipe%20A.%20Guth">Felipe A. Guth</a>, <a href="https://publications.waset.org/abstracts/search?q=Shane%20Ward"> Shane Ward</a>, <a href="https://publications.waset.org/abstracts/search?q=Kevin%20McDonnell"> Kevin McDonnell</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the precision agriculture area, one of the main tasks is the automated detection of diseases in crops. Machine Learning algorithms have been studied in recent decades for such tasks in view of their potential for improving economic outcomes that automated disease detection may attain over crop fields. The latest generation of deep learning convolution neural networks has presented significant results in the area of image classification. In this way, this work has tested the implementation of an architecture of deep learning convolution neural network for the detection of diseases in different types of crops. A data augmentation strategy was used to meet the requirements of the algorithm implemented with a deep learning framework. Two test scenarios were deployed. The first scenario implemented a neural network under images extracted from a controlled environment while the second one took images both from the field and the controlled environment. The results evaluated the generalisation capacity of the neural networks in relation to the two types of images presented. Results yielded a general classification accuracy of 59% in scenario 1 and 96% in scenario 2. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=convolutional%20neural%20networks" title="convolutional neural networks">convolutional neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title=" deep learning"> deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=disease%20detection" title=" disease detection"> disease detection</a>, <a href="https://publications.waset.org/abstracts/search?q=precision%20agriculture" title=" precision agriculture"> precision agriculture</a> </p> <a href="https://publications.waset.org/abstracts/95339/a-case-study-of-deep-learning-for-disease-detection-in-crops" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/95339.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">259</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4154</span> FEM Based Numerical Simulation and Analysis of a Landslide Triggered by the Fluctuations of Ground-Water Levels</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Deepak%20Raj%20Bhat">Deepak Raj Bhat</a>, <a href="https://publications.waset.org/abstracts/search?q=Akihiko%20Wakai"> Akihiko Wakai</a>, <a href="https://publications.waset.org/abstracts/search?q=Shigeru%20Ogita"> Shigeru Ogita</a>, <a href="https://publications.waset.org/abstracts/search?q=Yorihiro%20Tanaka"> Yorihiro Tanaka</a>, <a href="https://publications.waset.org/abstracts/search?q=Kazushige%20Hayashi"> Kazushige Hayashi</a>, <a href="https://publications.waset.org/abstracts/search?q=Shinro%20Abe"> Shinro Abe</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, the newly developed finite element methods are used for numerical analysis ofa landslide triggered by the fluctuations of ground-water levels in different cases I-IV. In case I, the ground-water level is fixed in such a way that the overall factor of safety (Fs) would be greater or equal to 1 (i.e., stable condition). Then, the ground-water level is gradually increased up to 1.0 m for, making the overall factor of safety (Fs) less than one (i.e., stable or moving condition). Then, the newly developed finite element model is applied for numerical simulation of the slope for each case. Based on the numerical analysis results of each Cases I-IV, the details of the deformation pattern and shear strain pattern are compared to each other. Moreover, the change in mobilized shear strength and local factor of safety along the slip surface of the landslide for each case are discussed to understand the triggering behaviors of a landslide due to the increased in ground water level. It is expected that this study will help to better understand the role of groundwater fluctuation for triggering of a landslide or slope failure disasters, and it would be also helpful for the judgment of the countermeasure works for the prevention and mitigation of landslide and slope failure disasters in near future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=finite%20element%20method" title="finite element method">finite element method</a>, <a href="https://publications.waset.org/abstracts/search?q=ground%20water%20fluctuations" title=" ground water fluctuations"> ground water fluctuations</a>, <a href="https://publications.waset.org/abstracts/search?q=constitutive%20model" title=" constitutive model"> constitutive model</a>, <a href="https://publications.waset.org/abstracts/search?q=landslides" title=" landslides"> landslides</a>, <a href="https://publications.waset.org/abstracts/search?q=long-term%20disaster%20management%20system" title=" long-term disaster management system"> long-term disaster management system</a> </p> <a href="https://publications.waset.org/abstracts/154661/fem-based-numerical-simulation-and-analysis-of-a-landslide-triggered-by-the-fluctuations-of-ground-water-levels" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/154661.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">140</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4153</span> Delineation of Oil – Polluted Sites in Ibeno LGA, Nigeria, Using Geophysical Techniques</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ime%20R.%20Udotong">Ime R. Udotong</a>, <a href="https://publications.waset.org/abstracts/search?q=Justina%20I.%20R.%20Udotong"> Justina I. R. Udotong</a>, <a href="https://publications.waset.org/abstracts/search?q=Ofonime%20U.%20M.%20John"> Ofonime U. M. John</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Ibeno, Nigeria hosts the operational base of Mobil Producing Nigeria Unlimited (MPNU), a subsidiary of ExxonMobil and the current highest oil and condensate producer in Nigeria. Besides MPNU, other oil companies operate onshore, on the continental shelf and deep offshore of the Atlantic Ocean in Ibeno, Nigeria. This study was designed to delineate oil polluted sites in Ibeno, Nigeria using geophysical methods of electrical resistivity (ER) and ground penetrating radar (GPR). Results obtained revealed that there have been hydrocarbon contaminations of this environment by past crude oil spills as observed from high resistivity values and GPR profiles which clearly show the distribution, thickness and lateral extent of hydrocarbon contamination as represented on the radargram reflector tones. Contaminations were of varying degrees, ranging from slight to high, indicating levels of substantial attenuation of crude oil contamination over time. Moreover, the display of relatively lower resistivities of locations outside the impacted areas compared to resistivity values within the impacted areas and the 3-D Cartesian images of oil contaminant plume depicted by red, light brown and magenta for high, low and very low oil impacted areas, respectively confirmed significant recent pollution of the study area with crude oil. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=electrical%20resistivity" title="electrical resistivity">electrical resistivity</a>, <a href="https://publications.waset.org/abstracts/search?q=geophysical%20investigations" title=" geophysical investigations"> geophysical investigations</a>, <a href="https://publications.waset.org/abstracts/search?q=ground%20penetrating%20radar" title=" ground penetrating radar"> ground penetrating radar</a>, <a href="https://publications.waset.org/abstracts/search?q=oil-polluted%20sites" title=" oil-polluted sites"> oil-polluted sites</a> </p> <a href="https://publications.waset.org/abstracts/31443/delineation-of-oil-polluted-sites-in-ibeno-lga-nigeria-using-geophysical-techniques" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31443.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">418</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4152</span> Comparison of Improvement with Bored Piling and Stone Column in a Selected Area in Kocaeli</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Utkan%20Mutman">Utkan Mutman</a>, <a href="https://publications.waset.org/abstracts/search?q=Omer%20Ayhan"> Omer Ayhan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In highway work in a field that is selected in Kocaeli/TURKEY district to the ground improvement and piling is done. In this study, the degree of improvement was observed on the ground after the columns made of stone and bored piles in the field and compared. In this context, improving the ground before and after analysis and solution analysis made with values obtained by the finite element method, which was made Plaxis program. On the improved ground, in order to control of manufactured bored piles, continuity of bored piles and pile load tests were carried out. In addition, the test of load capacity specified in the project is made of stone columns. Test results of the soil improvement were observed to be successful, the results obtained in the field and the results obtained from Plaxis program were compared. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bored%20piling" title="bored piling">bored piling</a>, <a href="https://publications.waset.org/abstracts/search?q=stone%20columns" title=" stone columns"> stone columns</a>, <a href="https://publications.waset.org/abstracts/search?q=plaxis" title=" plaxis"> plaxis</a>, <a href="https://publications.waset.org/abstracts/search?q=soil%20improvement" title=" soil improvement"> soil improvement</a> </p> <a href="https://publications.waset.org/abstracts/52778/comparison-of-improvement-with-bored-piling-and-stone-column-in-a-selected-area-in-kocaeli" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/52778.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">296</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4151</span> Market Index Trend Prediction using Deep Learning and Risk Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shervin%20Alaei">Shervin Alaei</a>, <a href="https://publications.waset.org/abstracts/search?q=Reza%20Moradi"> Reza Moradi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Trading in financial markets is subject to risks due to their high volatilities. Here, using an LSTM neural network, and by doing some risk-based feature engineering tasks, we developed a method that can accurately predict trends of the Tehran stock exchange market index from a few days ago. Our test results have shown that the proposed method with an average prediction accuracy of more than 94% is superior to the other common machine learning algorithms. To the best of our knowledge, this is the first work incorporating deep learning and risk factors to accurately predict market trends. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title="deep learning">deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=LSTM" title=" LSTM"> LSTM</a>, <a href="https://publications.waset.org/abstracts/search?q=trend%20prediction" title=" trend prediction"> trend prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20management" title=" risk management"> risk management</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20networks" title=" artificial neural networks"> artificial neural networks</a> </p> <a href="https://publications.waset.org/abstracts/148318/market-index-trend-prediction-using-deep-learning-and-risk-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/148318.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">156</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4150</span> Numerical Study on the Cavity-Induced Piping Failure of Embankment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=H.%20J.%20Kim">H. J. Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=G.%20C.%20Park"> G. C. Park</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20C.%20Kim"> K. C. Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20H.%20Shin"> J. H. Shin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cavities are frequently found beneath conduits on pile foundations in old embankments. Cavity reduces seepage length significantly and consequently causes piping failure of embankments. Case studies of embankment failures indicate that the relative settlement between ground and pile supported-concrete conduit was the main reason of the cavity. In this paper, an attempt to simulate the cavity-induced piping failure mechanism was made using finite element numerical method. Piping potential is examined by carrying out parametric study for influencing factors such as cavity length, water level, and flow conditions. The concentration of hydraulic gradient adjacent to cavity was found. It is found that the hydraulic gradient close to the cavity exceeds considerably the critical hydraulic gradient causing piping. Piping failure potential due to the existence of cavity is evaluated and contour map for the potential risk of an embankment for piping failure is proposed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cavity" title="cavity">cavity</a>, <a href="https://publications.waset.org/abstracts/search?q=hydraulic%20gradient" title=" hydraulic gradient"> hydraulic gradient</a>, <a href="https://publications.waset.org/abstracts/search?q=levee" title=" levee"> levee</a>, <a href="https://publications.waset.org/abstracts/search?q=piping" title=" piping"> piping</a> </p> <a href="https://publications.waset.org/abstracts/33770/numerical-study-on-the-cavity-induced-piping-failure-of-embankment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/33770.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">520</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4149</span> Refugee to Settler: A Study on Rohingya Migration in Chattogram and Cox’s Bazar</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shahadat%20Hossain">Shahadat Hossain</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The United Nations (UN) declared Rohingya as the most oppressed nation in the world. The Rohingya's native place is Arakan, Myanmar, which is newly named Rakhine. The Rohingya have been forcibly migrated to Bangladesh, Malaysia, and other states for settlement for many years. Bangladesh has not been able to handle the pressure of Rohingya refugees, although it has been hosting Rohingya refugees for multiple decades. As a result, Rohingya refugees have been mixed with the local population. Some of the Rohingya people of Arakan already became citizens of Bangladesh after migrating to Bangladesh. The Rohingya have become Bangladeshis through intermarriage, kinship, labour, and business partnerships. Rohingya people preferred to settle in Bangladesh due to cultural, religious, and linguistic similarities. Some of the Rohingyas get an advantage also from the domestic political and voting equation of Bangladesh. This research tried to explore how the Rohingyas settled in Chattogram and Cox's Bazar and became one of the locals. The research sought to focus on their advantage, difficulties, and narrative. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rohingya" title="Rohingya">Rohingya</a>, <a href="https://publications.waset.org/abstracts/search?q=refugee" title=" refugee"> refugee</a>, <a href="https://publications.waset.org/abstracts/search?q=Bangladesh" title=" Bangladesh"> Bangladesh</a>, <a href="https://publications.waset.org/abstracts/search?q=Rohingya%20settlement" title=" Rohingya settlement"> Rohingya settlement</a> </p> <a href="https://publications.waset.org/abstracts/165682/refugee-to-settler-a-study-on-rohingya-migration-in-chattogram-and-coxs-bazar" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/165682.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">72</span> </span> 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