Unsupervised damage assessment under varying ambient temperature based on an adjusted artificial neural network and new multivariate covariance-based distances
Author(s): |
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: | journal article |
Language(s): | English |
Published in: | Structural Health Monitoring, February 2024, n. 6, v. 23 |
Page(s): | 3814-3831 |
DOI: | 10.1177/14759217231225402 |
- About this
data sheet - Reference-ID
10775591 - Published on:
29/04/2024 - Last updated on:
10/11/2024