IoT Based Control Networks and Intelligent Systems

This book PDF is perfect for those who love Technology & Engineering genre, written by P. P. Joby and published by Springer Nature which was released on 11 October 2022 with total hardcover pages 892. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related IoT Based Control Networks and Intelligent Systems books below.

IoT Based Control Networks and Intelligent Systems

Author	: P. P. Joby
File Size	: 52,6 Mb
Publisher	: Springer Nature
Language	: English
Release Date	: 11 October 2022
ISBN	: 9789811958458
Pages	: 892 pages

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IoT Based Control Networks and Intelligent Systems by P. P. Joby Book PDF Summary

This book gathers selected papers presented at International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS 2022), organized by St. Joseph’s College of Engineering and Technology, Kottayam, Kerala, India, during July 1–2, 2022. The book covers state-of-the-art research insights on Internet of things (IoT) paradigm to access, manage, and control the objects/things/people working under various information systems and deployed under wide range of applications like smart cities, health care, industries, and smart homes.

IoT Based Control Networks and Intelligent Systems by P. P. Joby,Valentina E. Balas,Ram Palanisamy

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IoT Based Control Networks and Intelligent Systems by P. P. Joby,Marcelo S. Alencar,Przemyslaw Falkowski-Gilski

This book gathers selected papers presented at International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS 2023), organized by School of Computer Science and Engineering, REVA University, Bengaluru, India, during June 21–22, 2023. The book covers state-of-the-art research insights on Internet of things (IoT) paradigm to access, manage, and control the

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Interoperability in IoT for Smart Systems by Monideepa Roy,Pushpendu Kar,Sujoy Datta

Interoperability in IoT for Smart Systems discusses the different facets of interoperability issues among the IoT devices and their solutions, the scalability issues in an IoT network, and provides solutions for plug-n-play of new devices with the existing IoT system. It also addresses the possible usage of interoperable and plug-n-play

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Machine Learning and IoT for Intelligent Systems and Smart Applications by Madhumathy P,M Vinoth Kumar,R. Umamaheswari

The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of machine learning and IoT with pertinent

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Internet of Things (IoT)-enabled spaces have made revolutionary advances in the utility grid. Among these advances, intelligent and energy-efficient services are gaining considerable interest. The use of the smart grid is increasing day after day around us and is not only used in saving energy but also in our

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Artificial Intelligence Techniques in IoT Sensor Networks by Mohamed Elhoseny,K Shankar,Mohamed Abdel-Basset

Artificial Intelligence Techniques in IoT Sensor Networks is a technical book which can be read by researchers, academicians, students and professionals interested in artificial intelligence (AI), sensor networks and Internet of Things (IoT). This book is intended to develop a shared understanding of applications of AI techniques in the present

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Intelligent Systems by Siba K. Udgata,Srinivas Sethi,Xiao-Zhi Gao

This book features best selected research papers presented at the Third International Conference on Machine Learning, Internet of Things and Big Data (ICMIB 2023) held at Indira Gandhi Institute of Technology, Sarang, India, during March 10–12, 2023. It comprises high-quality research work by academicians and industrial experts in the field of machine learning,

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Fog Enabled Intelligent IoT Systems by Yang Yang,Xiliang Luo,Xiaoli Chu,Ming-Tuo Zhou

This book first provides a comprehensive review of state-of-the-art IoT technologies and applications in different industrial sectors and public services. The authors give in-depth analyses of fog computing architecture and key technologies that fulfill the challenging requirements of enabling computing services anywhere along the cloud-to-thing continuum. Further, in order to

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