
Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing
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This book focuses on real-world industrial applications and case studies to provide for a wider knowledge of intelligent manufacturing. It also offers insights into manufacturing, logistics, and supply chain, where systems have undergone an industrial transformation. It discusses current research of machine learning along with blockchain techniques that can fill the gap between research and industrial exposure. It goes on to cover the effects that the Fourth Industrial Revolution has on industrial infrastructures and looks at the current industry change patterns and innovations that are accelerating industrial transformation activities.
Researchers, scholars, and students from different countries will appreciate this book for its real-world applications and knowledge acquisition. This book targets manufacturers, industry owners, product developers, scientists, logistics, and supply chain engineers.
Focuses on real-world industrial applications and case studies to provide for a wider knowledge of intelligent manufacturing
Offers insights into manufacturing, logistics, and supply chain where systems have undergone an industrial transformation
Discusses current research of machine learning along with blockchain techniques that can fill the gap between research and industrial exposure
Covers the effects that the 4th Industrial Revolution has on industrial infrastructures
Looks at industry change patterns and innovations that are speeding up industrial transformation activities
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Persons
Sabyasachi Pramanik is a Professional IEEE member. He obtained his Ph.D. in Computer Science and Engineering from the Sri Satya Sai University of Technology and Medical Sciences, Bhopal, India. Presently, he is an Assistant Professor in the Department of Computer Science and Engineering, Haldia Institute of Technology, India. He has many publications in various reputed international conferences, journals, and online book chapter contributions (Indexed by SCIE, Scopus, ESCI, etc.). He is researching the field of Artificial Intelligence, Data Privacy, IoT, Network Security, and Machine Learning. He is also serving as the editorial board member of many international journals. Dr. Pramanik is a reviewer of journal articles from IEEE, Springer, Elsevier, Inderscience, IET, and IGI Global and has reviewed many conference papers, has been a keynote speaker, session chair, and has been a technical program committee member for many international conferences. He has authored a book on Wireless Sensor networks. Currently, he is editing six books from IGI Global, CRC Press, EAI/Springer, and Scrivener-Wiley.
Ahmed A. Elngar is the Chair of Scientific Innovation Research Group (SIRG) Director of Technological and Informatics Studies Center Managing Editor of Journal of Cybersecurity and Information Management (JCIM), Beni-Suef University, Faculty of Computers & Artificial Intelligence, Egypt. Dr. Elngar is the Founder and Head of the Scientific Innovation Research Group (SIRG) and Assistant Professor of Computer Science at the Faculty of Computers and Information, Beni-Suef University. Dr. Elngar is a Director of the Technological and Informatics Studies Center (TISC), Faculty of Computers and Information, Beni-Suef University. He is a Managing Editor: Journal of Cybersecurity and Information Management (JCIM). Dr. Elngar has more than 25 scientific research papers published in prestigious international journals and over 5 books covering such diverse topics as data mining, intelligent systems, social networks, and smart environment. Research works and publications. Dr. Elngar is a collaborative researcher and a member of the Egyptian Mathematical Society (EMS) and International Rough Set Society (IRSS). His other research areas include Internet of Things (IoT), Network Security, Intrusion Detection, Machine Learning, Data Mining, Artificial Intelligence. Big Data, Authentication, Cryptology, Healthcare Systems, Automation Systems.
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