Engineering of Additive Manufacturing Features for Data-Driven Solutions Sources, Techniques, Pipelines, and Applications /

This book is a comprehensive guide to the latest developments in data-driven additive manufacturing (AM). From data mining and pre-processing to signal processing, computer vision, and more, the book covers all the essential techniques for preparing AM data. Readers willl explore the key physical an...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Safdar, Mutahar (VerfasserIn), Lamouche, Guy (VerfasserIn), Paul, Padma Polash (VerfasserIn), Wood, Gentry (VerfasserIn), Zhao, Yaoyao Fiona (VerfasserIn)
Körperschaft:	SpringerLink (Online service)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Ausgabe:	1st ed. 2023.
Schriftenreihe:	SpringerBriefs in Applied Sciences and Technology,
Schlagworte:	Industrial engineering. Production engineering. Engineering > Data processing. Artificial intelligence. Machine learning. Education. Industrial and Production Engineering. Data Engineering. Artificial Intelligence. Machine Learning.
Online-Zugang:	https://doi.org/10.1007/978-3-031-32154-2
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