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Blockchain and AI Technology in the Industrial Internet of Things

Blockchain and AI Technology in the Industrial Internet of Things
Author(s)/Editor(s): Subhendu Kumar Pani (Krupajal Computer Academy, India & Biju Patnaik University of Technology, India), Sian Lun Lau (Sunway University, Malaysia)and Xingcheng Liu (Sun Yat-sen University, China)
Copyright: ©2021
DOI: 10.4018/978-1-7998-6694-7
ISBN13: 9781799866947
ISBN10: 1799866947
EISBN13: 9781799866954

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Description

Blockchain and artificial intelligence (AI) in industrial internet of things is an emerging field of research at the intersection of information science, computer science, and electronics engineering. The radical digitization of industry coupled with the explosion of the internet of things (IoT) has set up a paradigm shift for industrial and manufacturing companies. There exists a need for a comprehensive collection of original research of the best performing methods and state-of-the-art approaches in this area of blockchain, AI, and the industrial internet of things in this new era for industrial and manufacturing companies.

Blockchain and AI Technology in the Industrial Internet of Things compares different approaches to the industrial internet of things and explores the direct impact blockchain and AI technology have on the betterment of the human life. The chapters provide the latest advances in the field and provide insights and concerns on the concept and growth of the industrial internet of things. While including research on security and privacy, supply chain management systems, performance analysis, and a variety of industries, this book is ideal for professionals, researchers, managers, technologists, security analysts, executives, practitioners, researchers, academicians, and students looking for advanced research and information on the newest technologies, advances, and approaches for blockchain and AI in the industrial internet of things.



Author's/Editor's Biography

Subhendu Pani (Ed.)

Subhendu Kumar Pani’s main area of interest includes data mining and its applications using machine learning techniques. Other areas of interest include Software Engineering, Big Data Analytics, Semantic Web, Web Intelligence, Distributed Data Mining, and Decision Support Systems.



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