Green Artificial Intelligence in Smart Cities: Sustainable Architectures and Wearable Technology: Artificial Intelligence for Sustainability
Editat de Arun Sekar Rajasekaran, Suganyadevi S, Maria Azees, Velliangiri Sarveshwaranen Limba Engleză Hardback – 30 noi 2026
This book:
- Covers design, implementation, optimization, and sustainability of wearable technology for smart cities.
- Explores the intersection of sustainable growth, green computing, automation, and performance optimization of wireless networks.
- Discusses innovative and efficient technological solutions for sustainable smart societies in terms of variances in industrial pollution levels, the effect of reduced carbon emissions, and biodiversity.
- Explains topics including blockchain-assisted secure data sharing, smart 5G Internet of Things scenarios, intelligent management of ad hoc networks, and the use of Artificial Intelligence.
- Addresses the ethical and policy considerations surrounding artificial intelligence, data privacy, and sustainability in the context of wearable technologies.
Preț: 892.32 lei
Preț vechi: 1037.57 lei
-14% Precomandă
Puncte Express: 1338
Carte nepublicată încă
Livrare prin curier în România Precomanda se expediază când titlul devine disponibil.
Transport gratuit pentru acest produs Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.
Doresc să fiu notificat când acest titlu va fi disponibil:
Se trimite...
Specificații
ISBN-13: 9781041082835
ISBN-10: 1041082835
Pagini: 384
Ilustrații: 130
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Artificial Intelligence for Sustainability
ISBN-10: 1041082835
Pagini: 384
Ilustrații: 130
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Artificial Intelligence for Sustainability
Public țintă
Academic, Postgraduate, and Undergraduate AdvancedCuprins
1. Sustainable Al for Smart Cities. 2. Sustainable Artificial Intelligence Frameworks for Next-Generation Smart Cities. 3. Sustainable AI In Wearable Technologies and Smart Cities: Emerging Trends and Future Perspectives. 4. Optimization Of Wireless Sensor Network Fault Detection in Smart Cities Using Big Data Analysis. 5. Energy Harvesting and Green Power Solutions. 6. AI For Disaster Management and Resilience. 7. Smart Agriculture in Smart Cities: The Need for Urban Agriculture and The Role of Artificial Intelligence. 8. Green AI In Brain-Computer Interfaces for Neurorehabilitation. 9. AI For Sustainable Development in Rural and Underserved Regions. 10. Sustainable Ai in Rural and Underserved Areas. 11. Sustainable Ai in Rural and Underserved Areas. 12. AI Governance and Policy Implications for Sustainable Smart Cities. 13. Challenges And Solutions in Implementing Sustainable AI.
Notă biografică
Arun Sekar Rajasekaran received his PhD from Anna University, Chennai in 2019. He is currently working as a Professor and Associate Head in the Department of Electronics and Communication Engineering at SR University, Warangal, Telangana. Currently he is guiding 4 Ph.D., scholars at SR University. He had nearly 16+ years of Teaching experience and has Anna University Guideship. He had published more than 45 SCIE publications in Journals namely, IEEE Transactions on Industrial informatics, IEEE Transactions on Intelligent Transportation systems, IEEE Transactions on Vehicular Technology, IEEE Internet of Things, ACM Transactions on sensor networks and manuscripts from different international publishers. His areas of interest are Cryptography, Information security, Blockchain, Body area networks, Fog computing and Image processing. He is an editorial board member of Scientific reports, Nature publisher (SCIE-Q1). He is a member of IEEE (Senior), ISTE, IETE (Fellow), ISRD and IEANG.
Suganyadevi S is an Assistant Professor in the Department of Electronics and Communication Engineering at KPR Institute of Engineering and Technology, Tamil Nadu, India. She received her B.E. degree in Electronics and Communication Engineering from Anna University, Chennai in 2012, M.E. degree in VLSI Design from Anna University, Chennai in 2014 and received her Ph.D, from Anna University, Chennai in 2025. She is a University Rank Holder in her undergraduate studies and a Gold Medalist in her postgraduate program. She has published around 50 papers in international journals and conferences, contributed to over 10 book chapters, authored 1 book, and edited 3 books. She holds more than 10 patents and serves as a reviewer for several reputed journals including IEEE Transactions on Image Processing, ACM Computing Surveys, Computers in Biology and Medicine (SCIE), Informatics in Medicine Unlocked (SCIE), Cognitive Computation, Artificial Intelligence Review, Molecular Ecology, The Imaging Science Journal (SCIE), The Journal of Supercomputing (SCIE), International Journal of Computing and Digital Systems (SCIE), Concurrency and Computation: Practice and Experience (SCIE), Bulletin of Electrical Engineering and Informatics, Applied Artificial Intelligence, Research in Comparative and International Education, Journal of Experimental and Theoretical Artificial Intelligence, Health Informatics Journal, Computer Methods in Biomechanics and Biomedical Engineering, Connection Science, and Scientific Reports. She has received a total funding of ₹7.44 lakhs from DHR-ICMR, Project grant of ₹16 lakhs from AICTE Research Promotion Scheme and ₹30,000 from DRDO. She is a Life Member of ISTE, and her research interests include Machine Learning and Image Processing.
Maria Azees received the B.E. degree in electronics and communication engineering and the M.E. degree in applied electronics from the St. Xavier’s Catholic College of Engineering, Nagercoil, India, which is affiliated under Anna University, Chennai, India, in 2011 and 2013, respectively, and the Ph.D. degree from the Faculty of Information and Communication Engineering, Anna University, in 2017. He is currently working as Assistant Professor in VIT university, AP, India. He has already published research articles in many reputed journals. His research interests include security in wireless sensor networks, blockchain technology, Fog computing, and VANETs. He is currently one of the Academic Editor of Security and Communication Networks.
Velliangiri Sarveshwaran is a distinguished researcher and academician specializing in Artificial Intelligence, Federated Learning, Machine Learning, Deep Learning, and Network Security. He completed his Post-Doctoral Fellowship at National Chung Cheng University and currently serves as a Research Associate Professor at SRM Institute of Science and Technology. He earned his bachelor’s degree in computer science and engineering from Anna University, completed his master’s degree at Karpagam University, and obtained his Ph.D. in Information and Communication Engineering from Anna University. He has published more than 50 SCI-indexed research papers in reputed international journals and has presented his research at over 30 international conferences worldwide. His research interests include Artificial Intelligence, Federated Learning, Deep Learning, Internet of Things, and Cybersecurity. Recognized among the world’s Top 2% Scientists, he actively contributes to the academic community as a reviewer, editorial board member, technical program committee member, and conference chair for several international journals and conferences. He also serves as the faculty advisor for the IEEE Computational Intelligence Student Branch at SRMIST, mentoring students and encouraging innovative research in emerging technologies.
Suganyadevi S is an Assistant Professor in the Department of Electronics and Communication Engineering at KPR Institute of Engineering and Technology, Tamil Nadu, India. She received her B.E. degree in Electronics and Communication Engineering from Anna University, Chennai in 2012, M.E. degree in VLSI Design from Anna University, Chennai in 2014 and received her Ph.D, from Anna University, Chennai in 2025. She is a University Rank Holder in her undergraduate studies and a Gold Medalist in her postgraduate program. She has published around 50 papers in international journals and conferences, contributed to over 10 book chapters, authored 1 book, and edited 3 books. She holds more than 10 patents and serves as a reviewer for several reputed journals including IEEE Transactions on Image Processing, ACM Computing Surveys, Computers in Biology and Medicine (SCIE), Informatics in Medicine Unlocked (SCIE), Cognitive Computation, Artificial Intelligence Review, Molecular Ecology, The Imaging Science Journal (SCIE), The Journal of Supercomputing (SCIE), International Journal of Computing and Digital Systems (SCIE), Concurrency and Computation: Practice and Experience (SCIE), Bulletin of Electrical Engineering and Informatics, Applied Artificial Intelligence, Research in Comparative and International Education, Journal of Experimental and Theoretical Artificial Intelligence, Health Informatics Journal, Computer Methods in Biomechanics and Biomedical Engineering, Connection Science, and Scientific Reports. She has received a total funding of ₹7.44 lakhs from DHR-ICMR, Project grant of ₹16 lakhs from AICTE Research Promotion Scheme and ₹30,000 from DRDO. She is a Life Member of ISTE, and her research interests include Machine Learning and Image Processing.
Maria Azees received the B.E. degree in electronics and communication engineering and the M.E. degree in applied electronics from the St. Xavier’s Catholic College of Engineering, Nagercoil, India, which is affiliated under Anna University, Chennai, India, in 2011 and 2013, respectively, and the Ph.D. degree from the Faculty of Information and Communication Engineering, Anna University, in 2017. He is currently working as Assistant Professor in VIT university, AP, India. He has already published research articles in many reputed journals. His research interests include security in wireless sensor networks, blockchain technology, Fog computing, and VANETs. He is currently one of the Academic Editor of Security and Communication Networks.
Velliangiri Sarveshwaran is a distinguished researcher and academician specializing in Artificial Intelligence, Federated Learning, Machine Learning, Deep Learning, and Network Security. He completed his Post-Doctoral Fellowship at National Chung Cheng University and currently serves as a Research Associate Professor at SRM Institute of Science and Technology. He earned his bachelor’s degree in computer science and engineering from Anna University, completed his master’s degree at Karpagam University, and obtained his Ph.D. in Information and Communication Engineering from Anna University. He has published more than 50 SCI-indexed research papers in reputed international journals and has presented his research at over 30 international conferences worldwide. His research interests include Artificial Intelligence, Federated Learning, Deep Learning, Internet of Things, and Cybersecurity. Recognized among the world’s Top 2% Scientists, he actively contributes to the academic community as a reviewer, editorial board member, technical program committee member, and conference chair for several international journals and conferences. He also serves as the faculty advisor for the IEEE Computational Intelligence Student Branch at SRMIST, mentoring students and encouraging innovative research in emerging technologies.
Descriere
The text discusses new models, practical solutions, and technological advances related to the development and transformation of cities through artificial intelligence and techniques. It provides a comprehensive exploration of the intersection between artificial intelligence and wearable technologies and smart cities.