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US$ 165.41
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Ai and Machine Learning for Mechanical and Electrical Engineering
Language: English
Published by Auerbach Publications, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
Condition: New.
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AI and Machine Learning for Mechanical and Electrical Engineering
Language: English
Published by Auerbach Publications, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
US$ 192.24
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Smart Electrical and Mechanical Systems: An Application of Artificial Intelligence and Machine Learning
Language: English
Published by Elsevier Science & Technology, 2022
ISBN 10: 032390789X ISBN 13: 9780323907897
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 189.04
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AI and Machine Learning for Mechanical and Electrical Engineering
Language: English
Published by Auerbach Publications, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
Condition: New.
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Smart Electrical and Mechanical Systems : An Application of Artificial Intelligence and Machine Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Smart Electrical and Mechanical Systems: An Application of Artificial Intelligence and Machine Learning
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Ai and Machine Learning for Mechanical and Electrical Engineering
Language: English
Published by Auerbach Publications, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 208.57
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Condition: As New. Unread book in perfect condition.
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Taschenbuch. Condition: Neu. Smart Electrical and Mechanical Systems | An Application of Artificial Intelligence and Machine Learning | Rakesh Sehgal (u. a.) | Taschenbuch | Einband - fest (Hardcover) | Englisch | 2022 | Academic Press | EAN 9780323907897 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Ai and Machine Learning for Mechanical and Electrical Engineering
Language: English
Published by Auerbach Publications, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
Condition: As New. Unread book in perfect condition.
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Smart Electrical and Mechanical Systems : An Application of Artificial Intelligence and Machine Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 233.94
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Ai and Machine Learning for Mechanical and Electrical Engineering
Language: English
Published by Auerbach Publications, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 242.97
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AI and Machine Learning for Mechanical and Electrical Engineering
Language: English
Published by Auerbach Publications, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
Condition: New.
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US$ 224.29
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Add to basketKartoniert / Broschiert. Condition: New. Includes significant case studies related to application of Artificial Intelligence and Machine Learning in Energy and Power, Mechanical Design and Manufacturing Contains supporting illustrations and tables, along with a valuable set of re.
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AI and Machine Learning for Mechanical and Electrical Engineering (Innovations in Intelligent Internet of Everything (IoE))
Language: English
Published by Auerbach Publications, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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US$ 358.83
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Add to basketHardcover. Condition: Brand New. 312 pages. 9.18x6.12x9.21 inches. In Stock.
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Condition: new. Questo è un articolo print on demand.
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US$ 169.71
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Add to basketPaperback. Condition: Brand New. 410 pages. 9.00x6.00x0.43 inches. In Stock. This item is printed on demand.
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AI and Machine Learning for Mechanical and Electrical Engineering (Hardcover)
Language: English
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
Hardcover. Condition: new. Hardcover. 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. The book examines issues involved in the transition from traditional mechanical and electrical engineering and their management systems to the new engineering paradigms created by the application of smart systems. It covers applications, methods to transition to smart engineering and management, and associated ethical implications. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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AI and Machine Learning for Mechanical and Electrical Engineering (Hardcover)
Language: English
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
US$ 201.21
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Add to basketHardcover. Condition: new. Hardcover. 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. The book examines issues involved in the transition from traditional mechanical and electrical engineering and their management systems to the new engineering paradigms created by the application of smart systems. It covers applications, methods to transition to smart engineering and management, and associated ethical implications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Smart Electrical and Mechanical Systems : An Application of Artificial Intelligence and Machine Learning
Language: English
Published by Elsevier Science & Technology, Academic Press, 2022
ISBN 10: 032390789X ISBN 13: 9780323907897
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Smart Electrical and Mechanical Systems: An Application of Artificial Intelligence and Machine Learning is an international contributed work with the most up-to-date fundamentals and conventional methods used in smart electrical and mechanical systems. Detailing methods and procedures for the application of ML and AI, it is supported with illustrations of the systems, process diagrams visuals of the systems and/or their components, and supportive data and results leading to the benefits and challenges of the relevant applications. The multidisciplinary theme of the book will help researchers build a synergy between electrical and mechanical engineering systems. The book guides readers on not only how to effectively solve problems but also provide high accuracy needed for successful implementation. Interdisciplinary in nature, the book caters to the needs of the electrical and mechanical engineering industry by offering details on the application of AI and ML in robotics, design and manufacturing, image processing, power system operation and forecasting with suitable examples.
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US$ 214.06
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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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AI and Machine Learning for Mechanical and Electrical Engineering
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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US$ 282.46
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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AI and Machine Learning for Mechanical and Electrical Engineering (Hardcover)
Language: English
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
Hardcover. Condition: new. Hardcover. 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. The book examines issues involved in the transition from traditional mechanical and electrical engineering and their management systems to the new engineering paradigms created by the application of smart systems. It covers applications, methods to transition to smart engineering and management, and associated ethical implications. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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AI and Machine Learning for Mechanical and Electrical Engineering
Language: English
Published by Auerbach Publications, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book examines issues involved in the transition from traditional mechanical and electrical engineering and their management systems to the new engineering paradigms created by the application of smart systems. It covers applications, methods to transition to smart engineering and management, and associated ethical implications.
