Yuexiong Ding
- Real-time prediction of TBM penetration rates using a transformer-based ensemble deep learning model. Dans: Automation in Construction, v. 168 (décembre 2024). (2024):
- Robust object detection in extreme construction conditions. Dans: Automation in Construction, v. 165 (septembre 2024). (2024):
- Safety compliance checking of construction behaviors using visual question answering. Dans: Automation in Construction, v. 144 (décembre 2022). (2022):
- Applications of natural language processing in construction. Dans: Automation in Construction, v. 136 (avril 2022). (2022):
- A Lag-FLSTM deep learning network based on Bayesian Optimization for multi-sequential-variant PM2.5 prediction. Dans: Sustainable Cities and Society, v. 60 (septembre 2020). (2020):