Verfügbarkeit: Engineering of Additive Manufacturing Features for Data-Driven Solutions

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

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Bibliographische Detailangaben
Hauptverfasser:	Safdar, Mutahar (VerfasserIn), Lamouche, Guy (VerfasserIn), Paul, Padma Polash (VerfasserIn), Wood, Gentry (VerfasserIn), Zhao, Yaoyao Fiona (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Cham Springer Nature Switzerland 2023 Cham Springer
Ausgabe:	1st ed. 2023
Schriftenreihe:	SpringerBriefs in Applied Sciences and Technology
Schlagworte:	Industrial and Production Engineering Data Engineering Artificial Intelligence Machine Learning Education Industrial engineering Production engineering Engineering—Data processing Artificial intelligence Machine learning
Online-Zugang:	BTU01 FAB01 FAW01 FCO01 FHA01 FHD01 FHI01 FHM01 FHN01 FHR01 FKE01 FLA01 FRO01 FWS01 FWS02 HTW01 TUM01 UBY01 UER01 Volltext
Beschreibung:	1 Online-Ressource (XV, 141 p. 43 illus., 37 illus. in color)
ISBN:	9783031321542
ISSN:	2191-5318
DOI:	10.1007/978-3-031-32154-2

Internformat

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discipline	Elektrotechnik Werkstoffwissenschaften / Fertigungstechnik Maschinenbau
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series2	SpringerBriefs in Applied Sciences and Technology
spellingShingle	Safdar, Mutahar Lamouche, Guy Paul, Padma Polash Wood, Gentry Zhao, Yaoyao Fiona Engineering of Additive Manufacturing Features for Data-Driven Solutions Sources, Techniques, Pipelines, and Applications Industrial and Production Engineering Data Engineering Artificial Intelligence Machine Learning Education Industrial engineering Production engineering Engineering—Data processing Artificial intelligence Machine learning
title	Engineering of Additive Manufacturing Features for Data-Driven Solutions Sources, Techniques, Pipelines, and Applications
title_auth	Engineering of Additive Manufacturing Features for Data-Driven Solutions Sources, Techniques, Pipelines, and Applications
title_exact_search	Engineering of Additive Manufacturing Features for Data-Driven Solutions Sources, Techniques, Pipelines, and Applications
title_exact_search_txtP	Engineering of Additive Manufacturing Features for Data-Driven Solutions Sources, Techniques, Pipelines, and Applications
title_full	Engineering of Additive Manufacturing Features for Data-Driven Solutions Sources, Techniques, Pipelines, and Applications by Mutahar Safdar, Guy Lamouche, Padma Polash Paul, Gentry Wood, Yaoyao Fiona Zhao
title_fullStr	Engineering of Additive Manufacturing Features for Data-Driven Solutions Sources, Techniques, Pipelines, and Applications by Mutahar Safdar, Guy Lamouche, Padma Polash Paul, Gentry Wood, Yaoyao Fiona Zhao
title_full_unstemmed	Engineering of Additive Manufacturing Features for Data-Driven Solutions Sources, Techniques, Pipelines, and Applications by Mutahar Safdar, Guy Lamouche, Padma Polash Paul, Gentry Wood, Yaoyao Fiona Zhao
title_short	Engineering of Additive Manufacturing Features for Data-Driven Solutions
title_sort	engineering of additive manufacturing features for data driven solutions sources techniques pipelines and applications
title_sub	Sources, Techniques, Pipelines, and Applications
topic	Industrial and Production Engineering Data Engineering Artificial Intelligence Machine Learning Education Industrial engineering Production engineering Engineering—Data processing Artificial intelligence Machine learning
topic_facet	Industrial and Production Engineering Data Engineering Artificial Intelligence Machine Learning Education Industrial engineering Production engineering Engineering—Data processing Artificial intelligence Machine learning
url	https://doi.org/10.1007/978-3-031-32154-2
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MARC

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