Deep learning and rule-based image processing pipeline for automated metal cutting tool wear detection and measurement
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: 10.1016/j.ifacol.2022.04.249
- Ereignis
-
Veröffentlichung
- (wo)
-
Aachen
- (wer)
-
Universitätsbibliothek der RWTH Aachen
- (wann)
-
2022
- Urheber
- DOI
-
10.18154/RWTH-2022-04841
- URN
-
urn:nbn:de:101:1-2022051906382497416433
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
2025-08-15T07:33:24+0200
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Holst, Carsten
- Yavuz, Taha Berk
- Gupta, Pranjul
- Ganser, Philipp
- Bergs, Thomas
- Universitätsbibliothek der RWTH Aachen
Entstanden
- 2022
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