Multiclass anomaly detection in imbalanced structural health monitoring data using convolutional neural network
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2662-2521
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
-
Multiclass anomaly detection in imbalanced structural health monitoring data using convolutional neural network ; volume:3 ; number:1 ; day:3 ; month:8 ; year:2022 ; pages:1-15 ; date:12.2022
Journal of infrastructure preservation and resilience ; 3, Heft 1 (3.8.2022), 1-15, 12.2022
- Urheber
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Zhao, Mengchen
Sadhu, Ayan
Capretz, Miriam
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s43065-022-00055-4
- URN
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urn:nbn:de:101:1-2022101320090495750449
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:27 MESZ
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Beteiligte
- Zhao, Mengchen
- Sadhu, Ayan
- Capretz, Miriam
- SpringerLink (Online service)
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