Toward a general unsupervised novelty detection framework in structural health monitoring
| Autor(en): |
Mohammad Hesam Soleimani‐Babakamali
(Department of Civil and Environmental Engineering Virginia Tech Blacksburg Virginia USA)
Reza Sepasdar (Department of Civil and Environmental Engineering Virginia Tech Blacksburg Virginia USA) Kourosh Nasrollahzadeh (Department of Civil Engineering K. N. Toosi University of Technology Tehran Iran) Ismini Lourentzou (Department of Computer Science Virginia Tech Blacksburg Virginia USA) Rodrigo Sarlo (Department of Civil and Environmental Engineering Virginia Tech Blacksburg Virginia USA) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Computer-Aided Civil and Infrastructure Engineering, Juli 2022, n. 9, v. 37 |
| Seite(n): | 1128-1145 |
| DOI: | 10.1111/mice.12812 |
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Datenseite - Reference-ID
10656716 - Veröffentlicht am:
17.02.2022 - Geändert am:
13.08.2022
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