- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
General deep learning framework for emissivity engineering ; volume:12 ; number:1 ; day:5 ; month:12 ; year:2023 ; pages:1-13 ; date:12.2023
Light ; 12, Heft 1 (5.12.2023), 1-13, 12.2023
- Klassifikation
-
Ingenieurwissenschaften und Maschinenbau
- Urheber
-
Yu, Shilv
Zhou, Peng
Xi, Wang
Chen, Zihe
Deng, Yuheng
Luo, Xiaobing
Li, Wangnan
Shiomi, Junichiro
Hu, Run
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41377-023-01341-w
- URN
-
urn:nbn:de:101:1-2024022113395751878330
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
10.06.20252025, 14:04 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Yu, Shilv
- Zhou, Peng
- Xi, Wang
- Chen, Zihe
- Deng, Yuheng
- Luo, Xiaobing
- Li, Wangnan
- Shiomi, Junichiro
- Hu, Run
- SpringerLink (Online service)
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