Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing (e-bog) af -
Elngar, Ahmed A. (redaktør)

Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing e-bog

436,85 DKK (inkl. moms 546,06 DKK)
This book looks at industry change patterns and innovations (such as artificial intelligence, machine learning, big data analysis, and blockchain support and efficiency technology) that are speeding up industrial transformation, industrial infrastructure, biodiversity, and productivity.This book focuses on real-world industrial applications and case studies to provide for a wider knowledge of i...
E-bog 436,85 DKK
Forfattere Elngar, Ahmed A. (redaktør)
Forlag CRC Press
Udgivet 22 juni 2022
Længde 192 sider
Genrer Industrial chemistry and manufacturing technologies
Sprog English
Format epub
Beskyttelse LCP
ISBN 9781000600308
This book looks at industry change patterns and innovations (such as artificial intelligence, machine learning, big data analysis, and blockchain support and efficiency technology) that are speeding up industrial transformation, industrial infrastructure, biodiversity, and productivity.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 manufacturingOffers insights into manufacturing, logistics, and supply chain where systems have undergone an industrial transformationDiscusses current research of machine learning along with blockchain techniques that can fill the gap between research and industrial exposureCovers the effects that the 4th Industrial Revolution has on industrial infrastructuresLooks at industry change patterns and innovations that are speeding up industrial transformation activities