Indirect cutting tool wear classification using deep learning and chip colour analysis
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1433-3015
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
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Indirect cutting tool wear classification using deep learning and chip colour analysis ; volume:111 ; number:3-4 ; day:7 ; month:10 ; year:2020 ; pages:1099-1114 ; date:11.2020
The international journal of advanced manufacturing technology ; 111, Heft 3-4 (7.10.2020), 1099-1114, 11.2020
- Urheber
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Pagani, Luca
Parenti, Paolo
Cataldo, Salvatore
Scott, Paul J.
Annoni, Massimiliano
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1007/s00170-020-06055-6
- URN
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urn:nbn:de:101:1-2020112818052266322190
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:38 MESZ
Datenpartner
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Beteiligte
- Pagani, Luca
- Parenti, Paolo
- Cataldo, Salvatore
- Scott, Paul J.
- Annoni, Massimiliano
- SpringerLink (Online service)
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