Artificial Intelligence for Sustainable Development (eBook)
X, 499 Seiten
Springer Nature Switzerland (Verlag)
978-3-031-53972-5 (ISBN)
This book delves into the synergy between AI and sustainability. This comprehensive guide illuminates the latest trends and cutting-edge techniques, offering invaluable insights for researchers, practitioners, and policymakers interested in the cross-section of AI and sustainability. The authors illustrate how AI-driven innovations are revolutionizing environmental conservation, urban planning, healthcare, and more. The book also considers the ethical considerations and governance frameworks crucial to harnessing AI's potential for global benefit. Whether a seasoned expert or a curious newcomer, this book empowers readers to navigate the dynamic landscape of AI and sustainability, paving the way for a more eco-conscious and equitable world.
Anandakumar Haldorai, Professor and Research Head in Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, TamilNadu, India. He has received his Master's in software engineering from PSG College of Technology, Coimbatore and PhD in Information and Communication Engineering from PSG College of Technology under, Anna University, Chennai. His research areas include Big Data, Cognitive Radio Networks, Mobile Communications and Networking Protocols. He has authored more than 158 research papers in reputed International Journals and IEEE conferences. He has authored 14 books and many book chapters with reputed publishers such as Springer and IGI. He is editor of Editor in Chief Keai - Elsevier - IJIN, Associate Editor IEEE Access, Area Editor - EAI Energy Web and served as a reviewer for IEEE, IET, Springer, Inderscience and Elsevier journals. He is also the guest editor of many journals with Elsevier, Springer, Inderscience, etc. He has been the General Chair, Session Chair, and Panelist in several conferences. He is senior member of IEEE, IET, ACM and Fellow member of EAI research group.
Babitha Lincy R received B. Tech degree from the Department of Electronics and Communication Engineering, Sri Venkateshwara College of Engineering and Technology, Anna University, Tamil Nadu, India, in 2014. She got an ME degree from Vel Tech Multi Tech Engineering College, India, in 2015. She has done research on 'Handwritten character recognition system using deep learning approach' at Sri Venkateswara College of Engineering, Anna University, Chennai, India. Currently working as Assistant Professor in Sri Eshwar college of Engineering, Coimbatore. She filed two patents. She has more than ten research papers published in SCI, book chapters and Scopus journals. She attended more than 10 workshops relevant to her research area. Currently she is working as Assistant professor in the Department of Computer and Communication Engineering at Sri Eshwar College of Engineering, Coimbatore. Besides, she is acting as a peer reviewer of the Current Science (SAGE) and Concurrency and Computation: Practice and Experience (Wiley) journals and others. Her research interests are VLSI circuit design, image processing, deep learning.
Suriya Murugan, has received her B.E in Information Technology from Avinashilingam University, Coimbatore in 2008 and Master's in Computer Science and Engineering from Anna University of Technology, Coimbatore in 2010. She is pursuing PhD in Information and Communication under Anna University, Chennai. She is having about 12 years of teaching experience and her areas of interest include Artificial Intelligence, Machine Learning and Wireless Communication. She has authored more than 30 research papers including 4 SCI and 25 Scopus indexed publications with high impact Journals like IEEE Access, Elsevier, Springer and Taylor and Francis. She has authored one book with Springer International Publishing and published about 11 book chapters with reputed publishers. She has obtained two patents and she has been serving as a reviewer for more than 15 peer journals like IEEE Access, Wiley, MDPI, Springer Wireless Networks, Inderscience, Taylor and Francis, MONET, etc. She has also delivered special lectures at FDPs and Workshops on Machine learning and deep learning at reputed institutions. She is is also awarded as senior IEEE member.
Minu Balakrishnan obtained BTech in Information Technology from Anna University in 2012 and M.E. in Computer Science and Engineering from Anna University in 2017. She is pursuing PhD in Information and Communication under Anna University, Chennai. She has about 2 years of experience in industry and currently she is working as Assistant Professor in Information Technology at Sri Eshwar College of Engineering, Coimbatore. Her research interests include Wireless Ad-hoc Network, Image Processing, Cognitive Radio Network.
Erscheint lt. Verlag | 12.4.2024 |
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Reihe/Serie | EAI/Springer Innovations in Communication and Computing |
Zusatzinfo | X, 499 p. 217 illus., 206 illus. in color. |
Sprache | englisch |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Technik ► Bauwesen | |
Technik ► Elektrotechnik / Energietechnik | |
Schlagworte | deep learning framework • Precision Agriculture • Smart Agriculture • Smart Decision System • social network analysis • Software Defined VANET |
ISBN-10 | 3-031-53972-9 / 3031539729 |
ISBN-13 | 978-3-031-53972-5 / 9783031539725 |
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