Structural Utilization Prediction for the Health Monitoring of Tunnel Linings by Means of an Artificial Neural Network Ensemble
| Zugehörige Institution(en) am KIT | KIT-Bibliothek (BIB) |
| Publikationstyp | Proceedingsbeitrag |
| Publikationsjahr | 2023 |
| Sprache | Englisch |
| Identifikator | ISBN: 978-1-60595-693-0 KITopen-ID: 1000167690 |
| Erschienen in | Structural Health Monitoring 2023: Designing SHM for Sustainability, Maintainability, and Reliability. Proceedings of the Fourteenth International Workshop on Structural Health Monitoring (IWSHM), Stanford, CA, 12th-14th September, 2023, Ed.: Saman Farhangdoust |
| Veranstaltung | 14th International Workshop on Structural Health Monitoring (IWSHM 2023), Stanford, CA, USA, 12.09.2023 – 14.09.2023 |
| Verlag | DEStech Publications |
| Seiten | 167 – 175 |
| Externe Relationen | Abstract/Volltext |
| Nachgewiesen in | Scopus |