{"id":2627,"date":"2019-10-22T11:21:05","date_gmt":"2019-10-22T11:21:05","guid":{"rendered":"http:\/\/tutorsindia.com\/academy\/?p=2627"},"modified":"2022-12-16T09:45:19","modified_gmt":"2022-12-16T09:45:19","slug":"recent-phd-research-topic-ideas-for-computer-science-engineering-2020-2","status":"publish","type":"post","link":"https:\/\/www.tutorsindia.com\/academy\/engineering-and-techology\/recent-phd-research-topic-ideas-for-computer-science-engineering-2020-2\/","title":{"rendered":"Recent Master&#8217;s Research Topic Ideas For Computer Science Engineering 2020"},"content":{"rendered":"\n<h2 style=\"text-align:justify\"><strong>Recent Master&#8217;s Research Topic Ideas For Computer Science Engineering 2020<\/strong><\/h2>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Exclusive for scholars pursuing their <\/strong>Master&#8217;s<strong> in Computer Science Engineering with base papers (peer-reviewed articles)<\/strong><\/h4>\n\n\n\n<ol class=\"wp-block-list\"><li><strong>Artificial intelligence<\/strong> (AI) based <strong>data mining<\/strong> and <strong>pattern recognition method<\/strong> for <strong>knowledge extraction &amp; decision-making\nprocess<\/strong> over the <strong>cloud\nenvironment<\/strong> <\/li><li>Design and implementation of <strong>autonomic resource provisioning and a\nscheduling method<\/strong> to satisfy the user QoS requirement in a <strong>cloud platform<\/strong> <\/li><li>The <a href=\"..\/..\/..\/..\/TQM\/Tina%20-%20DM\/Title%20and%20Description%20word%20count\/Title%20and%20Description%20word%20count.docx\">implementation<\/a>\nof <strong>privacy-aware efficient resource\nscheduling and load <a href=\"Blog-%20PA-%20E&amp;T-%20Civil.docx\">balancing<\/a><\/strong>\napproach for <strong>big data storage system<\/strong><\/li><li>Location-based image\nretrieval system using <strong>deep neural\nnetwork and image Features Information Fusion technique<\/strong><\/li><li>To detect <strong>network intrusion\/attacks<\/strong> over the cloud data using<strong> soft computing and optimization\ntechnique <\/strong><\/li><li>Intelligent computing system\nbased on <strong>association rule mining\ntechnique<\/strong> for better decision making in <strong>large-scale cloud storage systems<\/strong><\/li><li>To discover and analyse the\nrequired information using <strong>machine\nlearning technique and latent semantic mining of weblog data<\/strong><\/li><li><strong>Long-Short Term Memory <\/strong>(LSTM) and <strong>recurrent neural network <\/strong>for\nautomatic <strong>feature extraction <\/strong>and\nc<strong>lassification<\/strong> of stock price\nprediction<\/li><li><strong>Secure cloud<\/strong> framework by combing <strong>Lattice-based Cryptography<\/strong> and <strong>attribute-based access control scheme<\/strong><\/li><li>T<em>o\novercome the <strong>security and privacy issues<\/strong> cloud system using &nbsp;<strong>Proxy re-encryption and Identity-based\ncryptography technique<\/strong> <\/em><em><\/em><\/li><li>Multi-objective function based <strong>meta-heuristic\noptimization<\/strong> and <strong>Recurrent\nneural network<\/strong> for <strong>intrusion\ndetection<\/strong> of <strong>cloud system<\/strong><\/li><li><strong>Clinical\ndisease<\/strong> (breast cancer\nand cardiovascular disease) predictive modelling using <strong>machine learning techniques<\/strong><\/li><li>Fully automated <strong>disease\npredictive<\/strong> model using <strong>feature\nextraction<\/strong> and <strong>ML-based\nrecurrent neural network approach<\/strong> in medical application<\/li><li>Effective <strong>cloud service\nprovider<\/strong> using <strong>group data sharing technique<\/strong> to decrease the computational overheads <\/li><li>The implementation of image data augmentation using <strong>convolutional neural network<\/strong> and\n<strong>Generative adversarial network approach<\/strong><\/li><\/ol>\n\n\n\n<figure 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