Rajasekaran / S / Azees | Green Artificial Intelligence in Smart Cities | Buch | 978-1-041-08283-5 | www.sack.de

Buch, Englisch, 384 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Artificial Intelligence for Sustainability

Rajasekaran / S / Azees

Green Artificial Intelligence in Smart Cities

Sustainable Architectures and Wearable Technology
1. Auflage 2026
ISBN: 978-1-041-08283-5
Verlag: Taylor & Francis Ltd

Sustainable Architectures and Wearable Technology

Buch, Englisch, 384 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Artificial Intelligence for Sustainability

ISBN: 978-1-041-08283-5
Verlag: Taylor & Francis Ltd


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 two vital domains, i.e. wearable technologies and smart cities. The book covers the design, implementation, optimization, and sustainability of wearable Technology for smart cities.

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.

It is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, and renewable energy.

Rajasekaran / S / Azees Green Artificial Intelligence in Smart Cities jetzt bestellen!

Zielgruppe


Academic, Postgraduate, and Undergraduate Advanced

Weitere Infos & Material


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.


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 Jo



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