Computational Intelligence for Sustainable Technologies : Artificial Intelligence, Deep Learning, Internet of Things

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Computational Intelligence for Sustainable Technologies : Artificial Intelligence, Deep Learning, Internet of Things

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  • 製本 Hardcover:ハードカバー版
  • 商品コード 9783112229125

Description

This volume provides a comprehensive exploration of advanced computational intelligence methods specifically designed to address sustainability challenges across multiple technological domains. Bridging theoretical insights with practical solutions, it covers federated learning, artificial intelligence, deep learning, blockchain, IoT security, wireless communication, green technologies, and intelligent systems in healthcare, finance, and environmental management. Each chapter demonstrates innovative applications aimed at enhancing efficiency, security, resilience, and sustainability, making the book an essential resource for researchers, professionals, and policymakers.

The book is edited by a diverse team of researchers and practitioners, and draws on insights from both academic research and field-level applications. It is designed to serve as a reference for scholars, engineers, and policymakers working at the intersection of computational innovation and sustainable systems.

Prof. Bharat K. Bhargava has been a Computer Science Professor at Purdue since 1984, focusing on security in distributed systems. He has over 400 publications and is a Fellow of IEEE and IETE, receiving the IEEE Technical Achievement Award. He is also recognized for his contributions to education and mentorship.

Prof. Lalit Awasthi has over 36 years of experience in computer science, holding an M.Tech from IIT Delhi and a PhD from IIT Roorkee. He has served as Director at NIT Jalandhar and NIT Srinagar and has published over 250 papers. His research focuses on mobile distributed systems and IoT. Currently at SPU Mandi, he is implementing the New Education Policy and enhancing research and institutional rankings.

Surya Prasath, PhD, is a mathematician with two decades of experience in image processing, computer vision, machine learning, deep learning, and AI. He received his MSc and PhD in Mathematics from the Indian Institute of Technology Madras, India, in 2004 and 2009, respectively.

Balamurugan Balusamy is the Associate Dean of Academics at Shiv Nadar Institution of Eminence and an Adjunct Professor at Taylor University, Malaysia. He specializes in Engineering Education, Blockchain, and Data Sciences, with over 200 publications and 80 books. He advises start-ups and consults on Industrial IoT.

Sagaya Aurelia is an accomplished Associate Professor at Christ University, Bangalore, India. She holds a master's degree in Information Technology and a doctorate in Computer Science and Engineering from Bharathidasan University, Tamil Nadu. Her expertise spans Computer Science and Information Technology, with a focus on human-computer interaction.




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