Early damage detection by an innovative unsupervised learning method based on kernel null space and peak‐over‐threshold
Auteur(s): |
Hassan Sarmadi
(Department of Civil Engineering Ferdowsi University of Mashhad Azadi Square Mashhad Iran)
Ka‐Veng Yuen (State Key Laboratory of Internet of Things for Smart City and Department of Civil and Environmental Engineering University of Macau Macao China) |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Computer-Aided Civil and Infrastructure Engineering, 14 août 2021, n. 9, v. 36 |
Page(s): | 1150-1167 |
DOI: | 10.1111/mice.12635 |
- Informations
sur cette fiche - Reference-ID
10607223 - Publié(e) le:
15.05.2021 - Modifié(e) le:
26.08.2021