New input factors for machine learning approaches to predict the weld quality of ultrasonically welded thermoplastic composite materials
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
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In: Journal of Manufacturing and Materials Processing, 7, 5, S. 154-
- Ereignis
-
Veröffentlichung
- (wo)
-
Augsburg
- (wer)
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Universität Augsburg
- (wann)
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2023
- Ereignis
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Veröffentlichung
- (wer)
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MDPI AG
- (wann)
-
2023
- Urheber
- DOI
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10.3390/jmmp7050154
- URN
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urn:nbn:de:bvb:384-opus4-1084660
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:49 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
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Beteiligte
- Görick, Dominik
- Schuster, Alfons
- Larsen, Lars
- Welsch, Jonas
- Karrasch, Tobias
- Kupke, Michael
- Universität Augsburg
- MDPI AG
Entstanden
- 2023
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