Applications of Artificial Intelligence, Big Data and Internet of Things in Sustainable Development

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Sam Goundar Archana Purwar

Applications of Artificial Intelligence, Big Data and Internet of Things in Sustainable Development

Sam Goundar, Archana Purwar, Ajmer Singh

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Paperback

Forthcoming
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English

CRC Press
29 November 2024

Electrical engineering; Data capture & analysis; Data mining; Mathematical theory of computation; Machine learning

This book focuses on different algorithms and models related to AI, big data and IoT used for various domains. It enables the reader to have a broader and deeper understanding of several perspectives regarding the dynamics, challenges, and opportunities for sustainable development using artificial intelligence, big data and IoT. Applications of Artificial Intelligence, Big Data and Internet of Things (IoT) in Sustainable Development focuses on IT-based advancements in multidisciplinary fields such as healthcare, finance, bioinformatics, industrial automation, and environmental science. The authors discuss the key issues of security, management, and the realization of possible solutions to hurdles in sustainable development. The reader will master basic concepts and deep insights of various algorithms and models for various applications such as healthcare, finance, education, smart cities, smart cars, among others. Finally, the book will also examine the applications and implementation of big data IoT, AI strategies to facilitate the sustainable development goals set by the United Nations by 2030. This book is intended to help researchers, academics, and policymakers to analyze the challenges and future aspects for maintaining sustainable development through IoT, big data, and AI.

Edited by: Sam Goundar, Archana Purwar, Ajmer Singh
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
ISBN: 9781032157320
ISBN 10: 1032157321
Pages: 350
Publication Date: 29 November 2024
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Forthcoming

Dr. Sam Goundar is an international academic having taught at twelve different universities in ten different countries. He is Editor-in-Chief of the International Journal of Blockchains and Cryptocurrencies (IJBC)—Inderscience Publishers, Editor-in- Chief of the International Journal of Fog Computing (IJFC)—IGI Publishers, Section Editor of the Journal of Education and Information Technologies (EAIT)— Springer, and Editor-in-Chief (Emeritus) of the International Journal of Cloud Applications and Computing (IJCAC)—IGI Publishers. He is also on the editorial review board of more than 20 high-impact factor journals. Professor Goundar is a senior member of IEEE; a member of ACS; a member of the IITP, New Zealand; Certi cation Administrator of ETA- I, USA; and past president of the South Pacific Computer Society. He also serves on the IEEE Technical Committee for Internet of Things, Cloud Communication and Networking, Big Data, Green ICT, Cybersecurity, Business Informatics and Systems, Learning Technology, and Smart Cities. He is a member of the IEEE Technical Society and a panelist with the IEEE Spectrum for Emerging Technologies. Dr. Archana Purwar is currently working as Assistant Professor (Senior Grade) in Jaypee Institute of Information Technology, Noida (U.P.) and has been at the institute since 2011. Her areas of interest include database systems, information retrieval, and data mining, soft computing, and big data analytics. Dr. Ajmer Singh earned his B Tech and M Tech degrees from Kurukshetra University and his PhD from the Deenbandhu Chhoturam University of Science and Technology (DCRUST), Murthal. He is presently working as an Assistant Professor in the Department of Computer Science and Engineering at DCRUST, Murthal, Sonepat, India. With more than 11 years of experience in academic and administrative affairs, he has published more than 20 research papers in various international/national journals and conferences. His research interests include software testing, information retrieval, and data sciences.