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Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing : Theoretical Basics, Applications, and Challenges

By: (Edited by) Ahmed A. Elngar , (Edited by) Om Prakash Jena , (Edited by) Sabyasachi Pramanik

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Ksh 26,100.00

Format: Hardback or Cased Book

ISBN-10: 1032171537

ISBN-13: 9781032171531

Series: Intelligent Manufacturing and Industrial Engineering

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jun 22nd, 2022

Print length: 192 Pages

Weight: 453 grams

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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 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 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

Get Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing by at the best price and quality guranteed only at Werezi Africa largest book ecommerce store. The book was published by Taylor & Francis Ltd and it has pages. Enjoy Shopping Best Offers & Deals on books Online from Werezi - Receive at your doorstep - Fast Delivery - Secure mode of Payment

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