Multiclass anomaly detection in imbalanced structural health monitoring data using convolutional neural network

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
2662-2521
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
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

Creator
Zhao, Mengchen
Sadhu, Ayan
Capretz, Miriam
Contributor
SpringerLink (Online service)

DOI
10.1186/s43065-022-00055-4
URN
urn:nbn:de:101:1-2022101320090495750449
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:27 AM CEST

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Associated

  • Zhao, Mengchen
  • Sadhu, Ayan
  • Capretz, Miriam
  • SpringerLink (Online service)

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