Overview
A ROADMAP FOR ENABLING INDUSTRY 4.0 BY ARTIFICAIAL INTELLIGENCE The book presents comprehensive and up-to-date technological solutions to the main aspects regarding the applications of artificial intelligence to Industry 4.0. The industry 4.0 vision has been discussed for quite a while and the enabling technologies are now mature enough to turn this vision into a grand reality sooner rather than later. The fourth industrial revolution, or Industry 4.0, involves the infusion of technology-enabled deeper and decisive automation into manufacturing processes and activities. Several information and communication technologies (ICT) are being integrated and used towards attaining manufacturing process acceleration and augmentation. This book explores and educates the recent advancements in blockchain technology, artificial intelligence, supply chains in manufacturing, cryptocurrencies, and their crucial impact on realizing the Industry 4.0 goals. The book thus provides a conceptual framework and roadmap for decision-makers for implementing this transformation. Audience Computer and artificial intelligence scientists, information and communication technology specialists, and engineers in electronics and industrial manufacturing will find this book very useful.
Full Product Details
Author: Jyotir Moy Chatterjee (Lord Buddha Education Foundation (Asia Pacific University of Technology and Innovation), Kathmandu, Nepal) ,
Harish Garg (Thapar Institute of Engineering & Technology, Deemed University, India) ,
R. N. Thakur (Lord Buddha Education Foundation (LBEF), Kathmandu, Nepal)
Publisher: John Wiley & Sons Inc
Imprint: Wiley-Scrivener
Dimensions:
Width: 15.20cm
, Height: 1.90cm
, Length: 22.90cm
Weight: 0.726kg
ISBN: 9781119904854
ISBN 10: 1119904854
Pages: 336
Publication Date: 27 January 2023
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Hardback
Publisher's Status: Active
Availability: Available To Order
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Author Information
Jyotir Moy Chatterjee is an assistant professor in the Information Technology department at Lord Buddha Education Foundation (LBEF), Kathmandu, Nepal. He has published more than 60 research papers in international publications, three conference papers, three authored books, 10 edited books, 16 book chapters, two Master’s theses converted into books, and one patent. Harish Garg, PhD, is an associate professor at Thapar Institute of Engineering & Technology, Deemed University, Patiala, Punjab, India. His research interests include soft computing, decision-making, aggregation operators, evolutionary algorithm, expert systems, and decision support systems. He has published more than 300 papers published in refereed international journals. Dr. Garg is the Editor-in-Chief of Annals of Optimization Theory and Practice. R N Thakur, PhD, is a senior lecturer in the Information Technology Department, Lord Buddha Education Foundation (LBEF), Kathmandu, Nepal. He has published about 20 research articles in various journals.
