Few-shot learning for modeling cyber physical systems in non-stationary environments
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1433-3058
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Few-shot learning for modeling cyber physical systems in non-stationary environments ; day:15 ; month:10 ; year:2022 ; pages:1-11
Neural computing & applications ; (15.10.2022), 1-11
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s00521-022-07903-0
- URN
-
urn:nbn:de:101:1-2023010109081398425282
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:37 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Ntalampiras, Stavros
- Potamitis, Ilyas
- SpringerLink (Online service)
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