Continuous missing data imputation with incomplete dataset by generative adversarial networks–based unsupervised learning for long-term bridge health monitoring
| Author(s): |
Huachen Jiang
(Southeast University, Key Laboratory of Concrete and Prestressed Concrete Structure of Ministry of Education, Nanjing, China)
Chunfeng Wan 
(Southeast University, Key Laboratory of Concrete and Prestressed Concrete Structure of Ministry of Education, Nanjing, China)
Kang Yang (Southeast University, Key Laboratory of Concrete and Prestressed Concrete Structure of Ministry of Education, Nanjing, China) Youliang Ding
(Southeast University, Key Laboratory of Concrete and Prestressed Concrete Structure of Ministry of Education, Nanjing, China)
Songtao Xue (Research Institute of Structural Engineering and Disaster Reduction, College of Civil Engineering, Tongji University, Shanghai, China) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring, August 2021, n. 3, v. 21 |
| Page(s): | 147592172110219 |
| DOI: | 10.1177/14759217211021942 |
- About this
data sheet - Reference-ID
10610485 - Published on:
08/06/2021 - Last updated on:
09/05/2022
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