Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing: Theoretical Basics, Applications, and Challenges - Intelligent Manufacturing and Industrial Engineering -  - Books - Taylor & Francis Ltd - 9781032171548 - October 7, 2024
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Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing: Theoretical Basics, Applications, and Challenges - Intelligent Manufacturing and Industrial Engineering

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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.


192 pages, 12 Tables, black and white; 28 Line drawings, black and white; 43 Halftones, black and wh

Media Books     Paperback Book   (Book with soft cover and glued back)
Released October 7, 2024
ISBN13 9781032171548
Publishers Taylor & Francis Ltd
Pages 192
Dimensions 150 × 220 × 10 mm   ·   312 g
Language English  
Editor Elngar, Ahmed A. (Beni-Suef University, Egypt)
Editor Jena, Om Prakash (Ravenshaw University, Cuttack)
Editor Pramanik, Sabyasachi (Haldia Institute of Technology)

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