Artificial Intelligence in Multidomain Systems for Intelligent Decision Making and Automation
Dr. P. Manivel, Dr. Priya Velayutham, Dr. Sasikala S, Dr. Satish Kumar Das
Indexed In: google scholar
Release Date: 2025 | Copyright:©2025 | Pages: 433
DOI: 10.71443/9789349552357
ISBN10: 9349552353 | ISBN13: 9789349552357
Artificial Intelligence in Multidomain Systems for Intelligent Decision Making and Automation explores the integration of AI-driven technologies across diverse domains to enhance autonomy, optimize complex processes, and enable intelligent decision-making. This book provides a comprehensive understanding of how AI techniques—such as machine learning, deep learning, natural language processing, and multi-agent systems—can be applied in multidisciplinary environments like healthcare, manufacturing, smart cities, defense, finance, and beyond. It emphasizes the synergy between AI and emerging technologies, including the Internet of Things (IoT), edge computing, digital twins, and cloud-based architectures, showcasing their role in achieving scalable and adaptive automation. Readers will gain insights into the design of intelligent frameworks capable of analyzing vast, heterogeneous data streams, learning from dynamic environments, and making decisions in real time.
This book provides a comprehensive exploration of how Artificial Intelligence is transforming multidomain systems to enable intelligent decision making and advanced automation. It covers a wide range of AI techniques, including machine learning, deep learning, natural language processing, computer vision, and multi-agent systems, demonstrating their integration into diverse application areas such as healthcare, smart manufacturing, defense, transportation, finance, and urban infrastructure. The text delves into the role of AI in analyzing complex, heterogeneous data streams, enabling predictive analytics, real-time decision support, and adaptive control mechanisms across interconnected domains. It also highlights the convergence of AI with emerging technologies like the Internet of Things, edge computing, cloud platforms, blockchain, and digital twins to build scalable, secure, and autonomous ecosystems. Ethical, social, and governance challenges of AI-driven automation are also discussed to ensure responsible deployment. Through theoretical foundations, practical frameworks, case studies, and future research directions, the book offers valuable insights for researchers, engineers, policymakers, and industry professionals seeking to design and deploy intelligent multidomain systems that are resilient, efficient, and human-centric.
Dr. Manivel P is an accomplished Assistant Professor in Mechanical Engineering at Coimbatore Institute of Technology, with over 15 years of teaching and research experience. He holds a PhD in Supply Chain Inventory Management from Anna University and specializes in advanced manufacturing technologies, production optimization, and AI applications in engineering systems. Dr. Manivel has published extensively in reputed international journals and has provided consultancy in product design and process improvement for multiple industries. Passionate about bridging academia and industry, he has organized and participated in numerous workshops, faculty development programs, and conferences, actively contributing to advancements in intelligent decision-making and automation within multidisciplinary engineering domains.
Dr.Priya V has received her Ph.D. degree in Information and Communication Engineering in 2017 at Anna University, Chennai. Currently, she is working as a Professor in Computer Science and Engineering at Paavai Engineering College, Namakkal, Tamilnadu. She has more than 14 years of experience in Teaching and Research. Her research interests are in the areas of Artificial Intelligence, Machine Learning, Deep Learning, Cloud computing, Image processing, Data Science, Internet-of-Things and Bio-informatics. She published her research articles in reputed international journals, which is having a high impact factor. She is a Life Member of the Indian Society for Technical Education (ISTE).
Dr.S.Sasikala received her ME degree in Computer Science and Engineering and Ph.D. degree has completed full time in Information and Communication Engineering from Sona College of Technology, Anna University, Chennai, India. She is an Associate Professor of Department of Computer Science and Engineering, Paavai Engineering college, Namakkal. Her research AI and 5G networks, An applications of machine learning in precision agriculture and IoT health care applications and Recent trends of Robotics Technolohy. She has published papers in reputed international journals and conferences and Patents, book chapters. She has received best excellence award for education in Research founder academy and she has completed the TNSCST Funding Projects. Dr. Sasikala IEEE membership in lifetime.
Dr Satish Kumar Das served Prag Bosimi Synthetic Ltd, Assam as a Sr. Engineer, then he served SKS Ispat & Power Ltd, Raipur as an Assistant Manager in EDP section. After that he served North Eastern Regional Institute of Management (NERIM), Guwahati as Lecturer. At present he is working as an Assistant Professor (CSE) in Rajiv Gandhi University, Arunachal Pradesh. He did his Ph.D from Rajiv Gandhi University, Arunachal Pradesh in the area of Natural Language Processing (NLP).He had pursued Bachelor of Engineering (BE) in Computer Science and Engineering(CSE) from Jorhat Engineering College under Dibrugarh University, Assam, and Master of Technology (M.Tech) in Information Technology from Tezpur University, Assam.