9786209610462 - advanced artificial intelligence techniques in mechanical engineering di thangavel, gopalakrishnan; aravindh, revathi (8 risultati)
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Da: California Books, Miami, FL, U.S.A.California Books
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EUR 87,99
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Condizione: New.
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: preigu, Osnabrück, Germaniapreigu
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EUR 67,20
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Taschenbuch. Condizione: Neu. Advanced Artificial Intelligence Techniques in Mechanical Engineering | Gopalakrishnan Thangavel (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209610462 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, cu…stomerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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EUR 87,98
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Paperback. Condizione: new. Paperback. This book presents a comprehensive and application-oriented exploration of artificial intelligence in mechanical engineering, focusing on the transformation of traditional mechanical systems into intelligent, data-driven, and autonomous solutions. It bridges fundamental AI concepts with cor…e mechanical engineering domains such as design optimization, smart manufacturing, predictive maintenance, digital twins, robotics, and advanced materials. Emphasis is placed on practical implementation using machine learning, deep learning, and computational intelligence techniques to solve real industrial problems. The book also discusses Industry 4.0 integration, sensor-driven analytics, and human-machine collaboration frameworks. Through case studies, algorithms, and workflow illustrations, the text equips students, researchers, and practicing engineers with the knowledge required to develop next-generation intelligent mechanical systems. The work is particularly relevant for those seeking to apply AI for efficiency, reliability, sustainability, and innovation in modern mechanical engineering environments. 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: Omniscriptum, LAP Lambert Academic Publishing, 2026
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 79,90
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a comprehensive and application-oriented exploration of artificial intelligence in mechanical engineering, focusing on the transformation of traditional mechanical systems into intelligent, data-driven, and auton…omous solutions. It bridges fundamental AI concepts with core mechanical engineering domains such as design optimization, smart manufacturing, predictive maintenance, digital twins, robotics, and advanced materials. Emphasis is placed on practical implementation using machine learning, deep learning, and computational intelligence techniques to solve real industrial problems. The book also discusses Industry 4.0 integration, sensor-driven analytics, and human-machine collaboration frameworks. Through case studies, algorithms, and workflow illustrations, the text equips students, researchers, and practicing engineers with the knowledge required to develop next-generation intelligent mechanical systems. The work is particularly relevant for those seeking to apply AI for efficiency, reliability, sustainability, and innovation in modern mechanical engineering environments. 208 pp. Englisch.
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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EUR 98,06
EUR 43,23 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. This book presents a comprehensive and application-oriented exploration of artificial intelligence in mechanical engineering, focusing on the transformation of traditional mechanical systems into intelligent, data-driven, and autonomous solutions. It bridges fundamental AI concepts with cor…e mechanical engineering domains such as design optimization, smart manufacturing, predictive maintenance, digital twins, robotics, and advanced materials. Emphasis is placed on practical implementation using machine learning, deep learning, and computational intelligence techniques to solve real industrial problems. The book also discusses Industry 4.0 integration, sensor-driven analytics, and human-machine collaboration frameworks. Through case studies, algorithms, and workflow illustrations, the text equips students, researchers, and practicing engineers with the knowledge required to develop next-generation intelligent mechanical systems. The work is particularly relevant for those seeking to apply AI for efficiency, reliability, sustainability, and innovation in modern mechanical engineering environments. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Omniscriptum, LAP Lambert Academic Publishing, 2026
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- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 80,86
EUR 65,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents a comprehensive and application-oriented exploration of artificial intelligence in mechanical engineering, focusing on the transformation of traditional mechanical systems into intelligent, data-driven, and autonomous… solutions. It bridges fundamental AI concepts with core mechanical engineering domains such as design optimization, smart manufacturing, predictive maintenance, digital twins, robotics, and advanced materials. Emphasis is placed on practical implementation using machine learning, deep learning, and computational intelligence techniques to solve real industrial problems. The book also discusses Industry 4.0 integration, sensor-driven analytics, and human-machine collaboration frameworks. Through case studies, algorithms, and workflow illustrations, the text equips students, researchers, and practicing engineers with the knowledge required to develop next-generation intelligent mechanical systems. The work is particularly relevant for those seeking to apply AI for efficiency, reliability, sustainability, and innovation in modern mechanical engineering environments.
