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Edge Computational Intelligence for AI-Enabled IoT Systems (Advances in Computational Collective Intelligence)
Computers & Internet

Edge Computational Intelligence for AI-Enabled IoT Systems (Advances in Computational Collective Intelligence)

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"Edge Computational Intelligence for AI-Enabled IoT Systems" by Shrikaant Kulkarni, Jaiprakash Narain Dwivedi, Dinda Pramanta & Yuichiro Tanaka, published by Taylor Francis Group. Edge computational intelligence is an interface between edge computing and artificial intelligence (AI) technologies. This interfacing represents a paradigm shift in the world of work by enabling a broad application areas and customer-friendly solutions. Edge computational intelligence technologies are just in their infancy. Edge Computational Intelligence for AI-Enabled IoT Systems looks at the trends and advances in edge computing and edge AI, the services rendered by them, related security and privacy issues, training algorithms, architectures, and sustainable AI-enabled IoT systems.Together, these technologies benefit from ultra-low latency, faster response times, lower bandwidth costs, and resilience from network failure, and the book explains the advantages of systems and applications using intelligent IoT devices that are at the edge of a network and close to users. It explains how to make the most of edge and cloud computing as complementary technologies or used in isolation for extensive and widespread applications. The advancement in IoT devices, networking facilities, parallel computation and 5G, and robust infrastructure for generalized machine learning have made it possible to employ edge computational intelligence in diverse areas and in diverse ways.The book begins with chapters that cover edge AI services available as compared to conventional systems. These are followed by chapters that discuss security and privacy issues encountered during the implementation and execution of edge AI and computing services. The book concludes with chapters looking at applications spread across different areas of edge AI and edge computing and also at the role of computational intelligence in AI-driven IoT systems.Shrikaant Kulkarni, Ph.D., is currently a research and technical advisor at Filantrofia Sarvada CleanTech Pvt. Ltd., Pune, India, and adjunct professor at Padm. Dr. V. B. Kolte College of Engineering, Malkapur, India. He has published over 100+ research papers in national and international journals and conferences of repute. He has authored 50 book chapters and edited 12 books published by Apple Academic Press/CRC Press and Springer Nature. Another ten books are in the offing. He authored four textbooks in engineering chemistry. Dr. Kulkarni possesses M.Sc., M.Phil., and Ph.D. degrees in Chemistry and masterâ••s degrees in Economics, Business Management, and Political Science. He has expertise in the fields of green chemistry and engineering, analytical chemistry, and green nanoscience and nanotechnology, wastewater treatment, green and analytical chemistry, and advanced areas in chemical engineering and material science. Book details: 346 pages, published 2024. Order now on BookShops.in with fast, reliable delivery across India.

Book Specifications

ISBN-139781032207667
ISBN-101032207663
PublisherCRC Press
Languageenglish
Print Length328 pages
CategoryComputers & Internet

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