Civil infrastructure defect assessment using pixel-wise segmentation based on deep learning
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2190-5479
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Civil infrastructure defect assessment using pixel-wise segmentation based on deep learning ; day:25 ; month:8 ; year:2022 ; pages:1-14
Journal of civil structural health monitoring ; (25.8.2022), 1-14
- Urheber
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Savino, Pierclaudio
Tondolo, Francesco
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1007/s13349-022-00618-9
- URN
-
urn:nbn:de:101:1-2022111209020535950773
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:35 MESZ
Datenpartner
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Beteiligte
- Savino, Pierclaudio
- Tondolo, Francesco
- SpringerLink (Online service)
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