Adaptive Intelligence

This book comprises the select peer-reviewed proceedings of the 4th International Conference on Information Technology (InCITe-2024). It aims to provide a comprehensive knowledge base encompassing state-of-the-art research and development in adaptive intelligence, decision intelligence, artificial intelligence, deep learning, machine learning, data science, and enabling technologies for IoT, blockchain, and other futuristic technologies. It covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, social networks, and intelligence, decision-making, and modeling, information systems, IT architectures, and security related aspects. This book provides a valuable resource for those in academia and industry.

Comprises select peer-reviewed proceedings of the conference InCITe 2024 Provides real-world examples and case studies offers a comprehensive overview of adaptive intelligence, exploring its theoretical foundations, practical applications, and the latest research and developments

Autorentext

Dr. Nitasha Hasteer is a Professor & Head of the Information Technology Department and Dy. Director (Academics) at Amity School of Engineering and Technology, Amity University, India. She has 24 years of teaching, research, and administrative experience in academics and industry. She holds a Ph.D. in Computer Science and Engineering, and her interest areas are machine learning, cloud computing, crowdsourced software development, software project management, and process modeling through multi-criteria decision-making techniques. She has published over 80 papers in various journals and international conferences in these areas and has guided many postgraduate students in their dissertations. She has been on the editorial board of many international conferences, journals and has obtained funding from government agencies such as the Science and Engineering Research Board, Department of Science Technology (DST), Defence Research and Development Organization (DRDO), Indian National Science Academy (INSA), and Council of Scientific & Industrial Research (CSIR) for organizing events on latest cutting edge technologies in the area of Information Technology. She is a member of the International Association of Computer Science & Information Technology (IACSIT), Singapore, the Institution of Engineering and Technology (IET), UK, and various other professional bodies.

Dr. Seán McLoone is Professor of Applied Computational Intelligence and Director of the Centre for Intelligent Autonomous Manufacturing Systems (i-AMS) at Queen's University Belfast. Prof McLoone's research interests are in the general area of intelligent systems with a particular focus on data-based modeling and analysis of dynamical systems. This encompasses techniques ranging from classical system identification, fault diagnosis, and statistical process control to modern artificial intelligence and biologically inspired adaptive learning algorithms and optimization techniques. His research has a strong application focus, with many projects undertaken in collaboration with the industry in areas such as process monitoring: control, optimization, time series prediction, and in-line sensor characterization. At a professional level, Prof. McLoone is a Chartered Engineer, a Fellow of the Institute of Engineering Technology (IET), and a Senior Member of the Institute of Electrical and Electronic Engineers (IEEE). He is a member of the IFAC Technical Committees on Computational Intelligence in Control (TC3.2), and Modelling, Identification, and Signal Processing (TC1.1). He has previously served as a Member of the Accreditation Board of Engineers Ireland and as a non-executive Director on the Board of Directors of Irish Manufacturing Research Ltd. He currently serves as an Associate Editor for the 'Transactions of the Institute of Measurement and Control' and as a member of the Editorial Board of 'Engineering Applications of Artificial Intelligence'.

Dr. Purushottam Sharma is working as a Professor in the Department of Information Technology, Amity School of Engineering & Technology at Amity University Uttar Pradesh. He has more than 19 years of experience in research, academia, and industry. His research interests include artificial intelligence, data analytics, temporal data mining, and high-performance networks. Dr. Sharma has published more than 90 research papers in SCI, ESCI, Scopus-indexed journals, and reputed international conferences. He has multiple technical patents in his name. He is a Cisco certified Instructor Trainer ITQ (Instructor Trainer Qualification) and has also obtained CCNA, CCNA(R&S) Global Certificate from Cisco System USA. He has delivered lectures on Networking-related subjects in e-learning mode to 29 African Countries using the Pan-African Network at Amity University Uttar Pradesh.

Dr. Ranjana Nallamalli&nb

Inhalt
Computational Intelligence: Theoretical Foundation.- Computational Intelligence & Knowledge Discovery.- Computational Intelligence & Data Science.- Computational Intelligence for Information Security.- Computational Intelligence & IoT enabling Architectures.- Computational Intelligence & its applications.- Computational Paradigms.