Intelligent Computing and Communication Systems

Spectral Efficiency Analysis of Massive MIMO Systems.- Traffic Violations Prediction System on the basis of Human Behavior.- A Modified YOLO Model for On-road Vehicle Detection in Varying Weather Conditions.- Different Techniques used in Smart Traffic Light  Management System using CCTV.- A Novel Rule-based Expert System For Penalty Prediction For Two Wheeler's  Traffic Rules Violation in India.- Hybrid Material Based Dual-band Yagi-Uda Antenna with enhanced gain for the Ku-band applications.- Cheating Tolerant and Threshold based Secure Information Exchange among Propinquity of Adversaries.- A Review of Security Threats in Software Defined Networking.- Hardware based Analysis of PCG Signal for Heart Conditions.- Wireless Lighting System for Rural Households in India.- Sentiment analysis algorithms; Classifiers and their comparison.- Email sentiment classification using lexicon based opinion labelling.- Real Time Facial Emotion Recognition using Deep Learning.- Waste Segregation to ease Recyclability.- The Importance of Diversity in Multi-Objective Evolutionary Algorithms.- An Analysis and Comparison of Community Detection Algorithms in Online Social Networks.- Dynamic Reusability Measurement using Machine Learning Algorithms in Object Oriented Environment.- An Improvised Particle Swarm Optimization using Balanced Local Best.

Brahmjit Singh (Senior Member IEEE) is the Professor of Electronics and Communication Engineering, National Institute of Technology (NIT), Kurukshetra-136119 (India). He has published 171 research papers in international/national journals/conferences and co-authored four book chapters. He has been the Dean of Research and Consultancy and Chairman, Departments of Electronics and Communication Engineering and Computer Engineering NIT Kurukshetra. He is recipient of the Best Faculty Award (Administration)-2019 conferred by the Institute and the best research paper award from the Institution of Engineers (India). He obtained B.E. in Electronics Engineering from MNIT Jaipur, M.E. in Electronics and Communication Engineering with specialization in Microwave and Radar from Indian Institute of Technology Roorkee and Ph.D. from GGS IP University, Delhi. His current research interest includes machine learning in wireless communication, security in wireless networks, multimedia sensor networks and vehicular communication. He is the reviewer for several IEEE journals and conferences and presently serving as Vice Chair of IEEE ComSoc Delhi Chapter. 

Dr. Carlos A. Coello Coello received a Ph.D. in Computer Science from Tulane University (USA) in 1996. He is currently Full Professor with distinction (Investigador Cinvestav 3F) at CINVESTAV-IPN, Mexico City, Mexico. He has done pioneering research work on evolutionary multi-objective optimization and developed the first micro-genetic algorithm for multi-objective optimization and the first Pareto-based multi-objective artificial immune system. He has published over 480 papers in international peer-reviewed journals, book chapters and conferences and co-authored the book "Evolutionary Algorithms for Solving Multi-Objective Problems". With 46,000 citations, his h-index rises to 83. He received 2007 National Research Award, Mexican Academy of Science. He is IEEE Fellow for "contributions to multi-objective