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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...

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Bibliografiske detaljer
Main Authors:	Safdar, Mutahar (Author), Lamouche, Guy (Author), Paul, Padma Polash (Author), Wood, Gentry (Author), Zhao, Yaoyao Fiona (Author)
Institution som forfatter:	SpringerLink (Online service)
Format:	Electronisk eBog
Sprog:	engelsk
Udgivet:	Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Udgivelse:	1st ed. 2023.
Serier:	SpringerBriefs in Applied Sciences and Technology,
Fag:	Industrial engineering. Production engineering. Engineering > Data processing. Artificial intelligence. Machine learning. Education. Industrial and Production Engineering. Data Engineering. Artificial Intelligence. Machine Learning.
Online adgang:	https://doi.org/10.1007/978-3-031-32154-2
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!

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