Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
| Author(s): |
Arman Malekloo
(Department of Civil Engineering, Middle East Technical University, Ankara, Turkey)
Ekin Ozer 
(Department of Civil & Environmental Engineering, University of Strathclyde, Glasgow, UK)
Mohammad AlHamaydeh
(Department of Civil Engineering, College of Engineering, American University of Sharjah, Sharjah, UAE)
Mark Girolami (Department of Engineering, University of Cambridge, Cambridge, UK) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring, January 2022, n. 4, v. 21 |
| Page(s): | 147592172110368 |
| DOI: | 10.1177/14759217211036880 |
| License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
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- About this
data sheet - Reference-ID
10627275 - Published on:
05/09/2021 - Last updated on:
20/06/2022
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