- Automated masonry spalling severity segmentation in historic railway tunnels using deep learning and a block face plane fitting approach. Dans: Tunnelling and Underground Space Technology, v. 153 (novembre 2024). (2024):
- A hierarchical DCNN-based approach for classifying imbalanced water inflow in rock tunnel faces. Dans: Tunnelling and Underground Space Technology, v. 122 (avril 2022). (2022):
- Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network. Dans: Construction and Building Materials, v. 319 (février 2022). (2022):
- Arbitrarily-oriented tunnel lining defects detection from Ground Penetrating Radar images using deep Convolutional Neural networks. Dans: Automation in Construction, v. 133 (janvier 2022). (2022):
- Combining block-based and pixel-based approaches to improve crack detection and localisation. Dans: Automation in Construction, v. 122 (février 2021). (2021):
- 3D mapping from partial observations: An application to utility mapping. Dans: Automation in Construction, v. 117 (septembre 2020). (2020):
- Web-based visualisation for look-ahead ground imaging in tunnel boring machines. Dans: Automation in Construction, v. 105 (septembre 2019). (2019):
- An anomalous event detection and tracking method for a tunnel look-ahead ground prediction system. Dans: Automation in Construction, v. 91 (juillet 2018). (2018):