Honggan Yu
- Neural texture synthesis and style transfer of coal-rock images in coal mine heading faces using very deep convolutional networks. In: Tunnelling and Underground Space Technology, v. 157 (March 2025). (2025):
- Geological type recognition for shield machine using a semi-supervised variational auto-encoder-based adversarial method. In: Tunnelling and Underground Space Technology, v. 156 (February 2025). (2025):
- Adaptive VMD and multi-stage stabilized transformer-based long-distance forecasting for multiple shield machine tunneling parameters. In: Automation in Construction, v. 165 (September 2024). (2024):
- Probabilistic assessment of rockburst risk in TBM-excavated tunnels with multi-source data fusion. In: Tunnelling and Underground Space Technology, v. 152 (October 2024). (2024):
- An adaptive operating parameters decision-making method for shield machine considering geological environment. In: Tunnelling and Underground Space Technology, v. 141 (November 2023). (2023):
- A multi-channel decoupled deep neural network for tunnel boring machine torque and thrust prediction. In: Tunnelling and Underground Space Technology, v. 133 (March 2023). (2023):
- A multi-stage data augmentation and AD-ResNet-based method for EPB utilization factor prediction. In: Automation in Construction, v. 147 (March 2023). (2023):
- A field parameters-based method for real-time wear estimation of disc cutter on TBM cutterhead. In: Automation in Construction, v. 124 (April 2021). (2021):