3rd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

1 A Hybrid Algorithm for Document Clustering Using Optimized Kernel Matrix and Unsupervised Constraints.- 2 A Multi-Objective Optimal Trajectory Planning for Autonomous Vehicles using Dragonfly Algorithm.- 3 A Novel Coherent Architecture for Traffic Signal Management in Internet of Things.- 4 Color-to-Grayscale conversion for images with non-uniform chromatic distribution using Multiple Regression.- 5 Concurrent Spatial Color Information Processing for Video Based Vehicle Detection Applications.- 6 Efficient Routing Strategies For Energy Management in Wireless Sensor Network.- 7 Emperor Penguin Optimization Algorithm and M-Treebased multi-constraint Mul-ticast Ad hoc On demand Distance Vector Routing Protocol for MANETs.- 8 Fog Assisted Real-Time Coronary Heart Disease Risk Detection in IoT Based Healthcare System.- 9 Food Demand Forecast For Online Food Delivery Service Using CatBoost Model.- 10 GLCM Feature Based Texture image classification using Support vector Machine.- 11 Improved Rider Optimization Algorithm-based Link Aware Fault Detection (IROA-LAFD) scheme for securing Mobile Ad Hoc Networks (MANETs).- 12 Media Access Protocol for Wireless Sensor Network using Active Reception Scheme Based Energy Efficient Technique.- 13 Predictive Crime Analytics Using Linear Regression and K means.- 14 Reorganizing Virtual Machines as Docker Containers for Efficient Data Centers.- 15 Secured On Demand Adaptive Routing protocol for Data Transmission in IoT Environment.- 16 Service Measurement Index based Cloud Service Selection using Order Preference by Similarity to Ideal Solution based on Intuitionistic Fuzzy Values.- 17 Similarity analytics for semantic text using Natural Language Processing.- Author Index.

Dr. Anandakumar Haldorai, Professor (Associate) and Research Head in Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India. He has received his Master's in Software Engineering and PhD in Information and Communication Engineering from PSG College of Technology under, Anna University, Chennai. His research areas include Big Data, Cognitive Radio Networks, Mobile Communications and Networking Protocols. He has authored more than 125 research papers in reputed International Journals and IEEE conferences. He has authored 11 books and many book chapters with reputed publishers such as Springer and IGI. He is Editor in Chief of KeAi - Elsevier IJIN and served as a reviewer for IEEE, IET, Springer, Inderscience and Elsevier journals. He is also the guest editor of many journals with Elsevier, Springer, Inderscience, etc. He has been the General Chair, Session Chair, and Panelist in several conferences. He is senior member ofIEEE, IET, ACM and Fellow member of EAI research group.

Dr. Arulmurugan Ramu, is a Professor, Presidency University, Bangalore, India. His research focuses on the automatic interpretation of images and related problems in machine learning and optimization. His main research interest is in vision, particularly high-level visual recognition. He has authored more than 35 papers in major computer vision and machine learning conferences and journals. He is the recipient of Ph.D. degrees in Information and Communication Engineering from the Anna University at Chennai, M.Tech in Information Technology Anna University of Technology and B.Tech degree in Information Technology. He is guided many Ph.D. research scholar under the area of Image Processing using Machine Learning. He is an Associate Editor of Inderscience IJISC journal. He is awarded as Best Young Faculty Award 2018 and nominated for Best Young Researcher Award (Male) by International Academic and Research