- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2198-6053
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Automated bridge crack detection method based on lightweight vision models ; day:30 ; month:9 ; year:2022 ; pages:1-14
Complex & intelligent systems ; (30.9.2022), 1-14
- Urheber
-
Zhang, Jian
Qian, Songrong
Tan, Can
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s40747-022-00876-6
- URN
-
urn:nbn:de:101:1-2022121809190436854947
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:33 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Zhang, Jian
- Qian, Songrong
- Tan, Can
- SpringerLink (Online service)
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