An auto-tuned hybrid deep learning approach for predicting fracture evolution
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1435-5663
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
An auto-tuned hybrid deep learning approach for predicting fracture evolution ; day:8 ; month:11 ; year:2022 ; pages:1-18
Engineering with computers ; (8.11.2022), 1-18
- Urheber
-
Jiang, Sheng
Cheng, Zifeng
Yang, Lei
Shen, Luming
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s00366-022-01756-w
- URN
-
urn:nbn:de:101:1-2023012210010646885247
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:32 MESZ
Datenpartner
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Beteiligte
- Jiang, Sheng
- Cheng, Zifeng
- Yang, Lei
- Shen, Luming
- SpringerLink (Online service)
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