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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : 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 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9786209610462
Quantité disponible : 1 disponible(s)
Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. N° de réf. du vendeur I-9786209610462
Quantité disponible : Plus de 20 disponibles
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9786209610462
Quantité disponible : Plus de 20 disponibles
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9786209610462
Quantité disponible : Plus de 20 disponibles
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : 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 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. 208 pp. Englisch. N° de réf. du vendeur 9786209610462
Quantité disponible : 2 disponible(s)
Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : 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, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. N° de réf. du vendeur 134809932
Quantité disponible : 5 disponible(s)
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : 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 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9786209610462
Quantité disponible : 1 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9786209610462
Quantité disponible : 2 disponible(s)