A general framework for supervised structural health monitoring and sensor output validation mitigating data imbalance with generative adversarial networks-generated high-dimensional features
| Author(s): |
Mohammad Hesam Soleimani-Babakamali
(Department of Civil and Environmental Engineering, Virginia Tech University, Blacksburg, VA, USA)
Roksana Soleimani-Babakamali (Department of Computer Science, University of Vienna, Vienna, Austria) Rodrigo Sarlo 
(Department of Civil and Environmental Engineering, Virginia Tech University, Blacksburg, VA, USA)
|
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring, August 2021, n. 3, v. 21 |
| Page(s): | 147592172110254 |
| DOI: | 10.1177/14759217211025488 |
- About this
data sheet - Reference-ID
10627261 - Published on:
05/09/2021 - Last updated on:
09/05/2022
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