Condizione: New.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Condizione: New.
Da: Majestic Books, Hounslow, Regno Unito
EUR 168,88
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Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Da: Majestic Books, Hounslow, Regno Unito
EUR 170,68
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 171,55
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 178,90
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 181,42
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 196,22
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Condizione: As New. Unread book in perfect condition.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: California Books, Miami, FL, U.S.A.
EUR 209,98
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Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 197,60
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Da: Chiron Media, Wallingford, Regno Unito
EUR 206,21
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Aggiungi al carrellohardcover. Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 209,16
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 211,20
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Aggiungi al carrelloCondizione: New. In English.
EUR 189,30
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Aggiungi al carrelloCondizione: 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.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 236,40
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 258,97
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: 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.
Da: Revaluation Books, Exeter, Regno Unito
EUR 276,29
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 400 pages. 9.18x6.12x9.45 inches. In Stock.
Condizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 309,86
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 312 pages. 9.18x6.12x9.21 inches. In Stock.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
Da: Rarewaves.com UK, London, Regno Unito
EUR 246,00
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: 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.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032883677 ISBN 13: 9781032883670
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. The text explains how explainable artificial intelligence impacts problem-solving and aims to provide practical suggestions across various emerging industries. It further discusses important topics such as the strategic utilization of explainable artificial intelligence in supply chain enhancement, the integral role of explainable artificial intelligence in smart farming and smart cities with the industrial Internet of Things integration.Features:Discusses local interpretable model-agnostic explanations, and Shapley additive explanations for transparent data analysis, modeling, and predictionHighlights the importance of using artificial intelligence (AI) in optimizing processes by studying decision-making interpretability in supply chain optimizationExplains the use of explainable artificial intelligence to optimize supply chains by predicting demand, identifying bottlenecks, and making informed decisions about inventory managementIllustrates the benefit of employing explainable artificial intelligence in optimizing resource utilization, improving decision-making, and creating more efficient and sustainable ecosystemsExplores the integration of explainable artificial intelligence into smart appliances to provide insights into their operations and improve user experienceIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electrical and communications engineering, computer science and engineering, and information technology. The text explains how explainable artificial intelligence impacts problem-solving and aims to provide practical suggestions across various emerging industries. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032759488 ISBN 13: 9781032759487
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: 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.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032883677 ISBN 13: 9781032883670
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 167,29
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. The text explains how explainable artificial intelligence impacts problem-solving and aims to provide practical suggestions across various emerging industries. It further discusses important topics such as the strategic utilization of explainable artificial intelligence in supply chain enhancement, the integral role of explainable artificial intelligence in smart farming and smart cities with the industrial Internet of Things integration.Features:Discusses local interpretable model-agnostic explanations, and Shapley additive explanations for transparent data analysis, modeling, and predictionHighlights the importance of using artificial intelligence (AI) in optimizing processes by studying decision-making interpretability in supply chain optimizationExplains the use of explainable artificial intelligence to optimize supply chains by predicting demand, identifying bottlenecks, and making informed decisions about inventory managementIllustrates the benefit of employing explainable artificial intelligence in optimizing resource utilization, improving decision-making, and creating more efficient and sustainable ecosystemsExplores the integration of explainable artificial intelligence into smart appliances to provide insights into their operations and improve user experienceIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electrical and communications engineering, computer science and engineering, and information technology. The text explains how explainable artificial intelligence impacts problem-solving and aims to provide practical suggestions across various emerging industries. 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.