Gaussian Process Regression (GPR)-based missing data imputation and its uses for bridge structural health monitoring
Abstract Structural health monitoring (SHM) apparatuses rely on continuous measurement and analysis to assess the safety condition of a target system. However, in field applications, the SHM framework is often hampered by practical issues. Among them, missing data in recorded time series is arguably...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-06-01
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| Series: | Advances in Bridge Engineering |
| Online Access: | https://doi.org/10.1186/s43251-025-00169-1 |
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