Quality prediction for milling processes: automated parametrization of an end-to-end machine learning pipeline
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1863-7353
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Quality prediction for milling processes: automated parametrization of an end-to-end machine learning pipeline ; day:29 ; month:11 ; year:2022 ; pages:1-9
Production engineering ; (29.11.2022), 1-9
- Urheber
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s11740-022-01173-4
- URN
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urn:nbn:de:101:1-2023020921224344076040
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:45 MESZ
Datenpartner
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Beteiligte
- Fertig, Alexander
- Preis, Christoph
- Weigold, Matthias
- SpringerLink (Online service)
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