Unsupervised damage assessment under varying ambient temperature based on an adjusted artificial neural network and new multivariate covariance-based distances
Autor(en): |
Ali Nikdel
(Department of Civil Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Razavi Khorasan, Iran)
Hashem Shariatmadar (Department of Civil Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Razavi Khorasan, Iran) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Structural Health Monitoring, Februar 2024, n. 6, v. 23 |
Seite(n): | 3814-3831 |
DOI: | 10.1177/14759217231225402 |
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Datenseite - Reference-ID
10775591 - Veröffentlicht am:
29.04.2024 - Geändert am:
10.11.2024