- A change-point detection method for detecting and locating the abrupt changes in distributions of damage-sensitive features of SHM data, with application to structural condition assessment. Dans: Structural Health Monitoring, v. 22, n. 2 (mai 2022). (2022):
- A novel distribution regression approach for data loss compensation in structural health monitoring. Dans: Structural Health Monitoring, v. 17, n. 6 (décembre 2017). (2017):
- Analyzing and modeling inter-sensor relationships for strain monitoring data and missing data imputation: a copula and functional data-analytic approach. Dans: Structural Health Monitoring, v. 18, n. 4 (avril 2018). (2018):
- Uneven spatial distribution of fatigue cracks on steel box-girder bridges: a data-driven approach based on Bayesian networks. Dans: Structure and Infrastructure Engineering, v. 17, n. 7 (octobre 2021). (2021):
- Geometric characteristics of corrosion pits on high-strength steel wires in bridge cables under applied stress. Dans: Structure and Infrastructure Engineering, v. 17, n. 1 (mars 2021). (2021):
- Modelling the spatial distribution of heavy vehicle loads on long-span bridges based on undirected graphical model. Dans: Structure and Infrastructure Engineering, v. 15, n. 11 (juin 2019). (2019):
- Convolutional neural network-based data anomaly detection method using multiple information for structural health monitoring. Dans: Structural Control and Health Monitoring, v. 26, n. 1 (janvier 2019). (2019):
- Sparsel1optimization-based identification approach for the distribution of moving heavy vehicle loads on cable-stayed bridges. Dans: Structural Control and Health Monitoring, v. 23, n. 1 (janvier 2016). (2016):
- Identification of spatio-temporal distribution of vehicle loads on long-span bridges using computer vision technology. Dans: Structural Control and Health Monitoring, v. 23, n. 3 (mars 2016). (2016):