The book focuses on the recent developments in the areas of error reduction, resource optimization, and revenue growth in sustainable manufacturing using machine learning. It presents the integration of smart technologies such as machine learning in the field of Industry 4.0 for better quality products and efficient manufacturing methods. Focusses on machine learning applications in Industry 4.0 ecosystem, such as resource optimization, data analysis, and predictions. Highlights the importance of the explainable ...
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The book focuses on the recent developments in the areas of error reduction, resource optimization, and revenue growth in sustainable manufacturing using machine learning. It presents the integration of smart technologies such as machine learning in the field of Industry 4.0 for better quality products and efficient manufacturing methods. Focusses on machine learning applications in Industry 4.0 ecosystem, such as resource optimization, data analysis, and predictions. Highlights the importance of the explainable machine learning model in the manufacturing processes. Presents the integration of machine learning and big data analytics from an industry 4.0 perspective. Discusses advanced computational techniques for sustainable manufacturing. Examines environmental impacts of operations and supply chain from an industry 4.0 perspective. This book provides scientific and technological insight into sustainable manufacturing by covering a wide range of machine learning applications fault detection, cyber-attack prediction, and inventory management. It further discusses resource optimization using machine learning in industry 4.0, and explainable machine learning models for industry 4.0. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including mechanical engineering, manufacturing engineering, production engineering, aerospace engineering, and computer engineering.
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Add this copy of Machine Learning for Sustainable Manufacturing in to cart. $150.29, new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2023 by CRC Press.
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New. Sewn binding. Cloth over boards. 234 p. Contains: Unspecified, Illustrations, black & white, Illustrations, color, Halftones, black & white, Line drawings, black & white, Tables, black & white. Mathematical Engineering, Manufacturing, and Management Scie. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
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New. Print on demand Sewn binding. Cloth over boards. 234 p. Contains: Unspecified, Illustrations, black & white, Illustrations, color, Halftones, black & white, Line drawings, black & white, Tables, black & white. Mathematical Engineering, Manufacturing, and Management Scie.
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New. Sewn binding. Cloth over boards. 234 p. Contains: Unspecified, Illustrations, black & white, Illustrations, color, Halftones, black & white, Line drawings, black & white, Tables, black & white. Mathematical Engineering, Manufacturing, and Management Scie.