Crack identification using smart paint and machine learning
| Autor(en): |
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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|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Structural Health Monitoring, Mai 2023, n. 1, v. 23 |
| Seite(n): | 147592172311678 |
| DOI: | 10.1177/14759217231167823 |
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Datenseite - Reference-ID
10730064 - Veröffentlicht am:
30.05.2023 - Geändert am:
14.01.2024
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