S RamrajDepartment of Computer Science and Engineering SRM Institute of Science and Technology关注立即认领分享关注立即认领分享基本信息浏览量:0职业迁徙个人简介暂无内容研究兴趣论文共 12 篇作者统计合作学者相似作者按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选时间引用量主题期刊级别合作者合作机构Signature identification and user activity analysis on WhatsApp Web through network dataRamraj S.,Usha G.Microprocessors and Microsystems(2023)引用0浏览0EI引用00Hybrid feature learning framework for the classification of encrypted network trafficS. Ramraj, G. UshaConnect. Sci.no. 1 (2023)引用0浏览0EI引用00Unsupervised Feature Learning Methodology for Tree based Classifier and SVM to Classify Encrypted TrafficS. Ramraj, G. UshaINTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONSno. 2 (2023): 899-904引用0浏览0引用00Real-Time Resume Classification System Using LinkedIn Profile DescriptionsS Ramraj,V. Sivakumar, Kaushik Ramnath G2020 International Conference on Computational Intelligence for Smart Power System and Sustainable E...(2020)引用4浏览0EIWOS引用40Topic categorization of Tamil News Articles using PreTrained Word2Vec Embeddings with Convolutional Neural NetworkRamraj S,Arthi R, Solai Murugan, M.S. Julie2020 International Conference on Computational Intelligence for Smart Power System and Sustainable E...(2020)引用8浏览0EIWOS引用80Unsupervised Feature Learning for Whatsapp network Data packets using AutoencoderS Ramraj, G UshaICIIS(2020)引用1浏览0EIWOS引用10A Review of Multi-resolution Analysis (MRA) and Multi-geometric Analysis (MGA) Tools Used in the Fusion of Remote Sensing ImagesP. Mangalraj,V. Sivakumar,S. Karthick, V. Haribaabu,S. Ramraj,Dinesh Jackson SamuelCircuits Syst Signal Process(2019)引用17浏览0EI引用170Application of machine learning for renewable energy predictionS Ramraj,S Karthick, K YashwantIndian Journal of Public Health Research and Development(2018)引用0浏览0引用00Transfer Learning Approach for Identification of Malicious Domain NamesR. Rajalakshmi,S. Ramraj, R. Ramesh Kannandblp(2018)引用8浏览0EI引用80加载更多作者统计合作学者合作机构D-Core合作者学生导师暂无相似学者,你可以通过学者研究领域进行搜索筛选数据免责声明页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn