Crack identification using smart paint and machine learning
Auteur(s): |
Said Quqa
(Department of Civil, Chemical, Environmental, and Materials Engineering, University of Bologna, Bologna, Italy)
Sijia Li (Department of Structural Engineering, University of California San Diego, La Jolla, CA, USA) Yening Shu (Department of Structural Engineering, University of California San Diego, La Jolla, CA, USA) Luca Landi (Department of Civil, Chemical, Environmental, and Materials Engineering, University of Bologna, Bologna, Italy) Kenneth J. Loh (Department of Structural Engineering, University of California San Diego, La Jolla, CA, USA) |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Structural Health Monitoring, mai 2023, n. 1, v. 23 |
Page(s): | 147592172311678 |
DOI: | 10.1177/14759217231167823 |
- Informations
sur cette fiche - Reference-ID
10730064 - Publié(e) le:
30.05.2023 - Modifié(e) le:
14.01.2024