Crack identification using smart paint and machine learning
| Author(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)
|
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring, May 2023, n. 1, v. 23 |
| Page(s): | 147592172311678 |
| DOI: | 10.1177/14759217231167823 |
- About this
data sheet - Reference-ID
10730064 - Published on:
30/05/2023 - Last updated on:
14/01/2024
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