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Blockchain and AI Technology in the Industrial Internet of Things

Subhendu Kumar Pani Sian Lun Lau Xingcheng Liu Sian Lun Lau

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Paperback

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English
Business Science Reference
08 January 2021
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.
Edited by:   , , , ,
Imprint:   Business Science Reference
Country of Publication:   United States
Dimensions:   Height: 279mm,  Width: 216mm, 
Weight:   633g
ISBN:   9781799874799
ISBN 10:   1799874796
Pages:   317
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

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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