Springer Data Intelligence and Cognitive Informatics: Proceedings of ICDICI 2020 (Algorithms for Intelligent Systems)

This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2020), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during 8–9 July 2020. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems. From the Back Cover This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2020), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during 8–9 July 2020. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems. About the Author I. Jeena Jacob is working as a Professor in Computer Science and Engineering department at GITAM University, Bangalore, India. She actively participates on the development of the research field by conducting international conferences, workshops and seminars. She has published many articles in refereed journals. She has guest edited an issue for the International Journal of Mobile Learning and Organisation. Her research interests include mobile learning and computing.  Selvanayaki Kolandapalayam Shanmugam is currently working as an Associate Professor in Computer Science, Concordia University, Chicago, USA. She had over all 15+ years of lecturing sessions for theoretical subjects, experimental and instructional procedure for laboratory subjects. She presented more research articles in the national & international conferences and journals. Her research interest includes image processing, video processing, soft computing techniques, intelligent computing, web application development, object-oriented programming like C++, and Java, scripting languages like VBscript and Javascript, data science, algorithms, data warehousing and data mining, neural networks, genetic algorithms, software engineering, software project management software quality assurance, enterprise resource planning, information systems and database management systems. Selwyn Piramuthu is Professor of Information Systems at the University of Florida. He received his B.Tech., M.S. and Ph.D., respectively, from IIT Madras, University of Arizona and University of Illinois at Urbana–Champaign. His research interests include machine learning and cryptography with applications in medical informatics, supply chain management, financial credit risk scoring, IoT, among others. His book, co-authored with Wei Zhou titled, “RFID and Sensor Network Automation in the Food Industry,” was published by Wiley in 2016. Przemyslaw Falkowski-Gilski is a graduate of the Faculty of ETI, Gdansk University of Technology. He graduated 1st degree B.Sc. studies (in Polish) and 2nd degree M.Sc. studies (in English) in 2012 and 2013, respectively. He pursued his Ph.D. studies in the field of electronic media, particularly digital broadcasting systems and quality of networks and services. In 2018, he received the title of Doctor of Technical Sciences with distinction,