- Sequential Prediction of the TBM Tunnelling Attitude Based on Long-Short Term Memory with Mechanical Movement Principle. Dans: KSCE Journal of Civil Engineering, v. 28, n. 2 (décembre 2023). (2023):
- A Rock Mass Strength Prediction Method Integrating Wave Velocity and Operational Parameters Based on the Bayesian Optimization Catboost Algorithm. Dans: KSCE Journal of Civil Engineering, v. 27, n. 7 (juin 2023). (2023):
- TBM penetration rate prediction ensemble model based on full-scale linear cutting test. Dans: Tunnelling and Underground Space Technology, v. 131 (janvier 2023). (2023):
- TBM penetration rate prediction based on the long short-term memory neural network. Dans: Underground Space, v. 6, n. 6 (décembre 2021). (2021):
- Improved SVR Method for Predicting the Cutting Force of a TBM Cutter Using Linear Cutting Machine Test Data. Dans: KSCE Journal of Civil Engineering, v. 25, n. 11 (août 2021). (2021):
- Intelligent decision method for main control parameters of tunnel boring machine based on multi-objective optimization of excavation efficiency and cost. Dans: Tunnelling and Underground Space Technology, v. 116 (octobre 2021). (2021):
- Condensate drainage on slit or louvered fins in microchannel heat exchangers for anti-frosting. Dans: Energy and Buildings, v. 223 (septembre 2020). (2020):
- A TBM Cutter Life Prediction Method Based on Rock Mass Classification. Dans: KSCE Journal of Civil Engineering, v. 24, n. 9 (juillet 2020). (2020):
- Improved support vector regression models for predicting rock mass parameters using tunnel boring machine driving data. Dans: Tunnelling and Underground Space Technology, v. 91 (septembre 2019). (2019):