- Investigating the Increase in Load Rating and Reliability of a Prestressed Concrete Bridge When Utilizing Field-Derived Distribution and Impact Factors. In: Journal of Bridge Engineering (ASCE), v. 29, n. 3 (March 2024). (2024):
- Structural displacement monitoring using deep learning-based full field optical flow methods. In: Structure and Infrastructure Engineering, v. 16, n. 1 (7 October 2020). (2020):
- A review of computer vision–based structural health monitoring at local and global levels. In: Structural Health Monitoring, v. 20, n. 2 (October 2020). (2020):
- Marker-free monitoring of the grandstand structures and modal identification using computer vision methods. In: Structural Health Monitoring, v. 18, n. 5-6 (September 2018). (2018):
- A portable monitoring approach using cameras and computer vision for bridge load rating in smart cities. In: Journal of Civil Structural Health Monitoring, v. 10, n. 5 (September 2020). (2020):
- Investigation of vibration serviceability of a footbridge using computer vision-based methods. In: Engineering Structures, v. 224 (December 2020). (2020):
- Investigation of Structural Response under Human-Induced Excitations Using Noise-Assisted and Adaptively Transformed Multivariate Empirical Mode Decomposition. In: Journal of Structural Engineering (ASCE), v. 146, n. 4 (April 2020). (2020):
- Computer Vision–Based Human Comfort Assessment of Stadiums. In: Journal of Performance of Constructed Facilities (ASCE), v. 34, n. 2 (April 2020). (2020):
- Development of Elasto-Magneto-Electric (EME) Sensor for In-Service Cable Force Monitoring. In: International Journal of Structural Stability and Dynamics, v. 16, n. 4 (March 2016). (2016):
- A non-target structural displacement measurement method using advanced feature matching strategy. In: Advances in Structural Engineering, v. 22, n. 16 (6 November 2019). (2019):
- A computer vision approach for the load time history estimation of lively individuals and crowds. In: Computers & Structures, v. 200 (15 April 2018). (2018):