- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2192-8258
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
AI-Enabled Monitoring, Diagnosis & Prognosis ; volume:34 ; number:1 ; day:8 ; month:7 ; year:2021 ; pages:1-2 ; date:12.2021
Chinese journal of mechanical engineering ; 34, Heft 1 (8.7.2021), 1-2, 12.2021
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s10033-021-00589-w
- URN
-
urn:nbn:de:101:1-2021101606004031205113
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:21 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek.
Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Yan, Ruqiang
- Chen, Xuefeng
- Li, Weihua
- Gao, Robert X.
- SpringerLink (Online service)
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