This book gathers high-quality research papers presented at the Global AI Congress 2019, which was organized by the Institute of Engineering and Management, Kolkata, India, on 12¿14 September 2019. Sharing contributions prepared by researchers, practitioners, developers and experts in the areas of artificial intelligence, the book covers the areas of AI for E-commerce and web applications, AI and sensors, augmented reality, big data, brain computing interfaces, computer vision, cognitive radio networks, data mining, deep learning, expert systems, fuzzy sets and systems, image processing, knowledge representation, nature-inspired computing, quantum machine learning, reasoning, robotics and autonomous systems, robotics and the IoT, social network analysis, speech processing, video processing, and virtual reality.

Jyotsna Kumar Mandal is Former Dean of the Faculty of Engineering, Technology and Management, and a Senior Professor at the Department of Computer Science & Engineering, University of Kalyani, India. Holding a Ph.D. (Eng.) from Jadavpur University, Professor Mandal has co-authored six books: Algorithmic Design of Compression Schemes and Correction Techniques-A Practical Approach; Symmetric Encryption-Algorithms, Analysis and Applications: Low Cost-based Security; Steganographic Techniques and Application in Document Authentication-An Algorithmic Approach; Optimization-based Filtering of Random Valued Impulses-An Algorithmic Approach; and Artificial Neural Network Guided Secured Communication Techniques: A Practical Approach; all published by Lambert Academic Publishing, Germany. He has also authored more than 350 papers on a wide range of topics in international journals and proceedings. His areas of research include coding theory, data and network security, remote sensing and GIS-based applications, data compression, error correction, visual cryptography and steganography, distributed and shared memory, and parallel programming. He is a Fellow of the Institution of Electronics and Telecommunication Engineers, and a member of the IEEE, ACM, and Computer Society of India.

Somnath Mukhopadhyay is currently an Assistant Professor at the Department of Computer Science & Engineering, Assam University, Silchar, India. He completed his M.Tech. and Ph.D. in Computer Science & Engineering at the University of Kalyani, India, in 2011 and 2015, respectively. He has co-authored one book and edited five others. He has published over twenty papers in various international journals and conference proceedings, as well as three book chapters in edited volumes. His research interests include digital image processing, computational intelligence, and pattern recognition. He is a member of the IEEE and IEEE Young Professionals - Kolkata Section, life member ofthe Computer Society of India, and currently the Computer Society of India's regional student coordinator (RSC) for Region II.

Detection of Leukemia in Blood Samples Applying Image Processing Using a Novel Edge Detection Method.- Biometric based Unimodal and Multimodal Person Identification with CNN Using Optimal Filter Set.- Bed Expansion in Two-phase Liquid-solid Fluidized Beds with Non-Newtonian Fluids and ANN Modeling.- Question Answering System Based Chatbot for Healthcare.- Deep Learning-Based Smart Attendance Monitoring System.- A Model for Classification of Skin Disease Using Pretrained Convolutional Neural Network.- Centroid based hierarchy Preserving Clustering Algorithm Using Light House Scanning.- Intelligent Water Drops based Image Steganography.- Classification and Reconstruction of Archaeological Artifacts.- A Survey on Gathering of Distributed Mobile Agent in Discrete Domain.- Secured Session Key based E-Health: Biometric Blended with Intelligent Salp Swarm Protocol in Telecare Portals.