Proceedings of Second International Symposium on Artificial Intelligence
Description
This book discusses recent developments and contemporary research in artificial intelligence, machine learning, cryptography, network security, cyber security and blockchain technology. All contributing authors are eminent academicians, scientists, researchers, and scholars in their respective fields, hailing from around the world. This is the 2nd International Symposium organized jointly by Computer Society of India-Kolkata Chapter, India and NIT Sikkim, India. This book is a useful reference for aspiring researchers to update their knowledge of AI and ML, IoT security, digital watermarking, etc.
More details
Other editions
Additional editions
Persons
Dr. Debasis Giri is at present Associate Professor in the Department of Information Technology of Maulana Abul Kalam Azad University of Technology (formerly known as West Bengal University of Technology), West Bengal, India, prior to Professor (in Computer Science and Engineering) and Dean (in School of Electronics, Computer Science and Informatics) of Haldia Institute of Technology, Haldia, India. He did his masters (M.Tech. and M.Sc.) both from IIT Kharagpur, India, and also completed his Ph.D. from IIT Kharagpur, India. He is tenth all India rank holder in Graduate Aptitude Test in Engineering in 1999. He received IEEE Consumer Technology Society Chester Sall Memorial Award in 2023. He has published more than 150 papers in international journal/conference.
Dr. Asif Ekbal is currently Professor in the School of Artificial Intelligence and Data Science, IIT Jodhpur. He has been pursuing research in Artificial Intelligence, Natural Language Processing (NLP), and Applied Machine Learning since the last 18 years; and authored around 300 papers in top-tier conferences and journals. His research is funded by both Government and Industries. He has been serving as PC Chair, Area Chair, Senior PC member, PC member, reviewer to several well-known conferences like EMNLP, AAAI, EACL, HLT/NAACL, AAAI, IJCAI, EMNLP, ACL, etc. He is Associate Editor of ACM TALLIP
Dr. Sangram Ray is Associate Professor in the Department of Computer Science and Engineering, National Institute of Technology Sikkim, India. He has more than fifteen years of teaching and research experience, and more than ten years of administrative experience in various capacities including Dean, Head of the Department, Member of Board of Governors, Member of Senate, Faculty In-charge of Training and Placement Cell, Faculty In-charge of ICT Infrastructure, Faculty In-charge of Alumni Affairs, etc. He has obtained M.Tech. and Ph.D. from Indian Institute of Technology (Indian School of Mines) Dhanbad, India. His research area includes Cryptography and Information Security, Elliptic Curve Cryptography, Content Centric Network, Internet-of-Things, Cyber Security, Blockchain Technology, etc.
Dr. Kouichi Sakurai received the B.S. degree in Mathematics from the Faculty of Science, Kyushu University in 1986. He received the M.S. degree in Applied Science in 1988, and the Doctorate in Engineering in 1993 from the Faculty of Engineering, Kyushu University, Japan. He was engaged in research and development on cryptography and information security at the Computer and Information Systems Laboratory at Mitsubishi Electric Corporation from 1988 to 1994. From 1994, he worked for the Department of Computer Science of Kyushu University, Japan, in the capacity of Associate Professor, and became Full Professor there in 2002. Prof. Sakurai has published more than 450 academic papers around cryptography and information security.
Content
Secure Communication of the Auxiliary Information to the Receiver to Retrieve the Secret Message: A Steganography Approach.- Blockchain and IPFS-Enabled System for Efficient Vaccination Record Management.- RDDM: A Respiratory Disease Detection Technique using Deep Learning Models.- A Multi-Stage Machine Learning Pipeline for Agro-Climatic Feasibility Analysis and Dynamic Yield with Price Prediction.- Efficient Detection and Mitigation of False Data Injection Attacks in Automatic Generation Control Using Machine Learning Models.- Multilingual Keyword Spotting System in Indian Languages for Inclusive Education System Applications.- Predicting and Managing Solar Power in Virtual Power Plants Using Machine Learning.- Multiuser detection in hybrid Non-Orthogonal Multiple Access (NOMA) using machine learning.- Knee osteoarthritis detection and categorization with deep learning models.- Intelligent Farm Insect Identification Using Attention-Driven Neural Networks.- Attention Enhanced Visual Feature Extraction for Medical Image Retrieval using Multi-Stage Residual Networks.- Sentiment Analysis of Bengali Literature using NLP.- Brain Tumour Detection Using Contour-based Cropping and Skull Stripping.- Vehicle number plate identification system.- Data-Driven Visual Chart Predictions with Machine Learning.