Huaqiang Zhong
- (2024): Enhancing acceleration data cleaning through time–frequency feature integration using deep learning. In: Structures, v. 68 (October 2024).
- (2021): Bayesian model updating of a large-span steel tied arch bridge: an experimental study. Presented at: IABSE Congress: Structural Engineering for Future Societal Needs, Ghent, Belgium, 22-24 September 2021.
- (2021): Acceleration data quality assessment for bridge structural health monitoring via statistical and deep-learning approach. Presented at: IABSE Congress: Structural Engineering for Future Societal Needs, Ghent, Belgium, 22-24 September 2021.
- (2021): Faulty data detection and classification for bridge structural health monitoring via statistical and deep‐learning approach. In: Structural Control and Health Monitoring, v. 28, n. 11 (September 2021).
Structurae cooperates with
