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Añadir al carritoTaschenbuch. Condición: Neu. Smart Innovations in Energy and Mechanical Systems | Proceedings of SIEMS-2025 | Dmytro Pavlenko (u. a.) | Taschenbuch | Lecture Notes in Networks and Systems | xxv | Englisch | 2025 | Springer | EAN 9783031951909 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Publicado por Springer Nature Switzerland, Springer Nature Switzerland, 2025
ISBN 10: 3031951905 ISBN 13: 9783031951909
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book appeals to researchers and professionals working in the field of artificial neural networks. It offers insights into the application of neural networks in engineering contexts, providing valuable case studies and methodologies for those looking to bridge the gap between AI theory and practical engineering solutions.Engineers and technicians involved in additive manufacturing will find relevant content in this book. It covers advanced techniques and applications of 3D printing in aerospace and mechanical engineering, offering a unique perspective on how these technologies are shaping the future of manufacturing.The book caters to professionals and students focusing on machine learning and artificial intelligence, particularly in industrial applications. It demonstrates how these technologies are being integrated into energy systems and mechanical engineering, providing real-world examples and potential future directions.Robotics enthusiasts and engineers will benefit from the book's coverage of cutting-edge developments in industrial and aerospace robotics. It offers insights into autonomous systems, control algorithms, and the integration of robotics in smart manufacturing environments.Graduate and undergraduate students in STEM fields beyond traditional engineering, such as computer science or data science, will find value in the book's interdisciplinary approach. It showcases how advanced computational methods are applied to solve complex engineering problems.This book is of interest to enterprises that are involved in the implementation of green energy technologies, resource-saving technologies, and support the concept of decarbonization of the energy system.
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book appeals to researchers and professionals working in the field of artificial neural networks. It offers insights into the application of neural networks in engineering contexts, providing valuable case studies and methodologies for those looking to bridge the gap between AI theory and practical engineering solutions.Engineers and technicians involved in additive manufacturing will find relevant content in this book. It covers advanced techniques and applications of 3D printing in aerospace and mechanical engineering, offering a unique perspective on how these technologies are shaping the future of manufacturing.The book caters to professionals and students focusing on machine learning and artificial intelligence, particularly in industrial applications. It demonstrates how these technologies are being integrated into energy systems and mechanical engineering, providing real-world examples and potential future directions.Robotics enthusiasts and engineers will benefit from the book's coverage of cutting-edge developments in industrial and aerospace robotics. It offers insights into autonomous systems, control algorithms, and the integration of robotics in smart manufacturing environments.Graduate and undergraduate students in STEM fields beyond traditional engineering, such as computer science or data science, will find value in the book's interdisciplinary approach. It showcases how advanced computational methods are applied to solve complex engineering problems.This book is of interest to enterprises that are involved in the implementation of green energy technologies, resource-saving technologies, and support the concept of decarbonization of the energy system. 343 pp. Englisch.
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Publicado por Springer, Palgrave Macmillan Jul 2025, 2025
ISBN 10: 3031951905 ISBN 13: 9783031951909
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book appeals to researchers and professionals working in the field of artificial neural networks. It offers insights into the application of neural networks in engineering contexts, providing valuable case studies and methodologies for those looking to bridge the gap between AI theory and practical engineering solutions.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 364 pp. Englisch.
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ISBN 10: 3031951905 ISBN 13: 9783031951909
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Añadir al carritoPaperback. Condición: new. Paperback. This book appeals to researchers and professionals working in the field of artificial neural networks. It offers insights into the application of neural networks in engineering contexts, providing valuable case studies and methodologies for those looking to bridge the gap between AI theory and practical engineering solutions.Engineers and technicians involved in additive manufacturing will find relevant content in this book. It covers advanced techniques and applications of 3D printing in aerospace and mechanical engineering, offering a unique perspective on how these technologies are shaping the future of manufacturing.The book caters to professionals and students focusing on machine learning and artificial intelligence, particularly in industrial applications. It demonstrates how these technologies are being integrated into energy systems and mechanical engineering, providing real-world examples and potential future directions.Robotics enthusiasts and engineers will benefit from the book's coverage of cutting-edge developments in industrial and aerospace robotics. It offers insights into autonomous systems, control algorithms, and the integration of robotics in smart manufacturing environments.Graduate and undergraduate students in STEM fields beyond traditional engineering, such as computer science or data science, will find value in the book's interdisciplinary approach. It showcases how advanced computational methods are applied to solve complex engineering problems.This book is of interest to enterprises that are involved in the implementation of green energy technologies, resource-saving technologies, and support the concept of decarbonization of the energy system. 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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