Deep learning-based automated characterization of crosscut tests for coatings via image segmentation
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1935-3804
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Deep learning-based automated characterization of crosscut tests for coatings via image segmentation ; volume:19 ; number:2 ; day:17 ; month:12 ; year:2021 ; pages:671-683 ; date:3.2022
Journal of coatings technology and research ; 19, Heft 2 (17.12.2021), 671-683, 3.2022
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s11998-021-00557-y
- URN
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urn:nbn:de:101:1-2022061021351910567822
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:39 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Zhang, Gaoyuan
- Schmitz, Christian
- Fimmers, Matthias
- Quix, Christoph
- Hoseini, Sayed
- SpringerLink (Online service)
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