- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Machine learning-based corrosion rate prediction of steel embedded in soil ; volume:14 ; number:1 ; day:6 ; month:8 ; year:2024 ; pages:1-14 ; date:12.2024
Scientific reports ; 14, Heft 1 (6.8.2024), 1-14, 12.2024
- Urheber
-
Dong, Zheng
Ding, Ling
Meng, Zhou
Xu, Ke
Mao, Yongqi
Chen, Xiangxiang
Ye, Hailong
Poursaee, Amir
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-024-68562-w
- URN
-
urn:nbn:de:101:1-2410262119443.012984848303
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:32 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Dong, Zheng
- Ding, Ling
- Meng, Zhou
- Xu, Ke
- Mao, Yongqi
- Chen, Xiangxiang
- Ye, Hailong
- Poursaee, Amir
- SpringerLink (Online service)
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