Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural network
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2095-2449
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
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Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural network ; volume:16 ; number:11 ; day:5 ; month:12 ; year:2022 ; pages:1378-1396 ; date:11.2022
Frontiers of structural and civil engineering ; 16, Heft 11 (5.12.2022), 1378-1396, 11.2022
- Urheber
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Cao, Wenxuan
Li, Junjie
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1007/s11709-022-0855-8
- URN
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urn:nbn:de:101:1-2023031621204978811547
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:45 MESZ
Datenpartner
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Beteiligte
- Cao, Wenxuan
- Li, Junjie
- SpringerLink (Online service)
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