Yi-Ming Zhang
- Bayesian dynamic regression for reconstructing missing data in structural health monitoring. Dans: Structural Health Monitoring, v. 21, n. 5 (mars 2022). (2022):
- Sparse Gaussian process regression for multi-step ahead forecasting of wind gusts combining numerical weather predictions and on-site measurements. Dans: Journal of Wind Engineering and Industrial Aerodynamics, v. 220 (janvier 2022). (2022):
- Anomaly detection of structural health monitoring data using the maximum likelihood estimation-based Bayesian dynamic linear model. Dans: Structural Health Monitoring, v. 20, n. 6 (février 2021). (2021):
- Probabilistic Framework with Bayesian Optimization for Predicting Typhoon-Induced Dynamic Responses of a Long-Span Bridge. Dans: Journal of Structural Engineering (ASCE), v. 147, n. 1 (janvier 2021). (2021):
- Investigation of Temperature Effects on Steel-Truss Bridge Based on Long-Term Monitoring Data: Case Study. Dans: Journal of Bridge Engineering (ASCE), v. 25, n. 9 (septembre 2020). (2020):
- A probabilistic approach for short-term prediction of wind gust speed using ensemble learning. Dans: Journal of Wind Engineering and Industrial Aerodynamics, v. 202 (juillet 2020). (2020):
- Modeling and forecasting of temperature-induced strain of a long-span bridge using an improved Bayesian dynamic linear model. Dans: Engineering Structures, v. 192 (août 2019). (2019):