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Añadir al carritoCondición: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Añadir al carritoPaperback. Condición: Brand New. 108 pages. 9.25x6.10x0.27 inches. In Stock.
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Añadir al carritoTaschenbuch. Condición: Neu. Key Technologies of Intelligentized Welding Manufacturing | Visual Sensing of Weld Pool Dynamic Characters and Defect Prediction of GTAW Process | Zongyao Chen (u. a.) | Taschenbuch | xiii | Englisch | 2021 | Springer | EAN 9789811564932 | 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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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes the application of vision-sensing technologies in welding processes, one of the key technologies in intelligent welding manufacturing. Gas tungsten arc welding (GTAW) is one of the main welding techniques and has a wide range of applications in the manufacturing industry. As such, the book also explores the application of AI technologies, such as vision sensing and machine learning, in GTAW process sensing and feature extraction and monitoring, and presents the state-of-the-art in computer vision, image processing and machine learning to detect welding defects using non-destructive methods in order to improve welding productivity. Featuring the latest research from ORNL (Oak Ridge National Laboratory) using digital image correlation technology, this book will appeal to researchers, scientists and engineers in the field of advanced manufacturing.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
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Idioma: Inglés
Publicado por Springer Nature Singapore Jul 2021, 2021
ISBN 10: 9811564930 ISBN 13: 9789811564932
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes the application of vision-sensing technologies in welding processes, one of the key technologies in intelligent welding manufacturing. Gas tungsten arc welding (GTAW) is one of the main welding techniques and has a wide range of applications in the manufacturing industry. As such, the book also explores the application of AI technologies, such as vision sensing and machine learning, in GTAW process sensing and feature extraction and monitoring, and presents the state-of-the-art in computer vision, image processing and machine learning to detect welding defects using non-destructive methods in order to improve welding productivity. Featuring the latest research from ORNL (Oak Ridge National Laboratory) using digital image correlation technology, this book will appeal to researchers, scientists and engineers in the field of advanced manufacturing. 112 pp. Englisch.
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Publicado por Springer, Berlin|Springer Nature Singapore|US Department of Energy|Springer, 2021
ISBN 10: 9811564930 ISBN 13: 9789811564932
Librería: moluna, Greven, Alemania
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Añadir al carritoKartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book describes the application of vision-sensing technologies in welding processes, one of the key technologies in intelligent welding manufacturing.This book describes the application of vision-sensing technologies in welding processes, one of the.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 146,27
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Idioma: Inglés
Publicado por Springer, Springer Jul 2021, 2021
ISBN 10: 9811564930 ISBN 13: 9789811564932
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 106,99
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book describes the application of vision-sensing technologies in welding processes, one of the key technologies in intelligent welding manufacturing. Gas tungsten arc welding (GTAW) is one of the main welding techniques and has a wide range of applications in the manufacturing industry. As such, the book also explores the application of AI technologies, such as vision sensing and machine learning, in GTAW process sensing and feature extraction and monitoring, and presents the state-of-the-art in computer vision, image processing and machine learning to detect welding defects using non-destructive methods in order to improve welding productivity. Featuring the latest research from ORNL (Oak Ridge National Laboratory) using digital image correlation technology, this book will appeal to researchers, scientists and engineers in the field of advanced manufacturing.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 112 pp. Englisch.