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Published by Auerbach Publications, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
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Published by Auerbach Publications, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
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Published by Auerbach Publications, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
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Published by Auerbach Publications, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
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Published by Auerbach Publications, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
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Published by Auerbach Publications, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
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Published by Auerbach Publications, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
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Published by Auerbach Publications, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
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Published by Auerbach Publications, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
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Published by Auerbach Publications, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
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Published by Auerbach Publications, 2025
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Published by Auerbach Publications, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
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Published by Auerbach Publications, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
Seller: California Books, Miami, FL, U.S.A.
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Add to basketCondition: New. Dr. T. Rajasanthosh Kumar is an associate professor of the Department of Mechanical Engineering at Oriental Institute of Science and Technology, Bhopal, India.Dr. Surendra Reddy Vinta is an associate professor of the School of Comput.
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Published by Auerbach Publications, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
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Seller: UK BOOKS STORE, London, LONDO, United Kingdom
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Published by Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
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Hardback. Condition: New. Practical and informative, AI and Machine Learning for Mechanical and Electrical Engineering examines how artificial intelligence (AI) is changing the status quo in mechanical engineering, electrical systems, and management. Real-world examples and case studies demonstrate the application of AI in such diverse settings as industry and policymaking. This book illustrates how AI is playing a crucial role in enhancing productivity and innovation in various industries. It discusses transition methods and the ethical implications of using AI in mechanical engineering. Chapter highlights include the following:Developing a smart algorithm to integrate fault detection and classificationAlgorithms to investigate different testing scenarios for various anomalies in electric motorsData fusion to detect and assess electromechanical damageNeural networks for rolling bearing fault diagnosisEvolutionary algorithms to optimize deep learning models for water industry forecastsAI-based anomaly detection and root-cause analysisAn overarching theme is the transition from traditional mechanical, electrical, and management systems to AI-enabled smart systems. The book helps readers make sense of the challenges of integrating smart systems. It equips engineers with theoretical understanding as well as insight based on hands-on expertise. It shows how to better link and automate systems and improve productivity. This book not only shows how to implement smart solutions now but also shows the way to a more intelligent, productive, and interconnected future.
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Add to basketHardcover. Condition: Brand New. 400 pages. 9.18x6.12x9.45 inches. In Stock.
Language: English
Published by T&F/AUERBACH PUBLICATIONS, 2026
ISBN 10: 1032759488 ISBN 13: 9781032759487
Seller: UK BOOKS STORE, London, LONDO, United Kingdom
Hardcover. Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-12 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.