- A coarse aggregate particle size classification method by fusing 3D multi‐view and graph convolutional networks. Dans: Computer-Aided Civil and Infrastructure Engineering. :
- Crack instance segmentation using splittable transformer and position coordinates. Dans: Automation in Construction, v. 168 (décembre 2024). (2024):
- Automated detection of through-cracks in pavement using three-instantaneous attributes fusion and Swin Transformer network. Dans: Automation in Construction, v. 158 (février 2024). (2024):
- Airfield concrete pavement joint detection network based on dual-modal feature fusion. Dans: Automation in Construction, v. 151 (juillet 2023). (2023):
- A coarse aggregate gradation detection method based on 3D point cloud. Dans: Construction and Building Materials, v. 377 (mai 2023). (2023):
- Assessment of importance-based machine learning feature selection methods for aggregate size distribution measurement in a 3D binocular vision system. Dans: Construction and Building Materials, v. 306 (novembre 2021). (2021):
- Detecting Potholes in Asphalt Pavement under Small-sample Conditions Based on Improved Faster Region-based Convolution Neural Networks. Dans: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 49, n. 2 (février 2022). (2022):
- Pavement aggregate shape classification based on extreme gradient boosting. Dans: Construction and Building Materials, v. 256 (septembre 2020). (2020):