Optimal tuning of three deep learning methods with signal processing and anomaly detection for multi-class damage detection of a large-scale bridge
| Auteur(s): |
Rouzbeh Doroudi
(Civil Engineering Department, Faculty of Engineering, Kharazmi University, Tehran, Iran)
Seyed Hossein Hosseini Lavassani
(Civil Engineering Department, Faculty of Engineering, Kharazmi University, Tehran, Iran)
Mohsen Shahrouzi (Civil Engineering Department, Faculty of Engineering, Kharazmi University, Tehran, Iran) |
|---|---|
| Médium: | article de revue |
| Langue(s): | anglais |
| Publié dans: | Structural Health Monitoring, février 2024, n. 5, v. 23 |
| Page(s): | 3227-3252 |
| DOI: | 10.1177/14759217231216694 |
- Informations
sur cette fiche - Reference-ID
10775579 - Publié(e) le:
29.04.2024 - Modifié(e) le:
20.09.2024
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