- A Hybrid Numerical-ML Model for Predicting Geological Risks in Tunneling with Electrical Methods. In: KSCE Journal of Civil Engineering. :
- Influence Analysis of Pavement Distress on International Roughness Index Using Machine Learning. In: KSCE Journal of Civil Engineering, v. 28, n. 10 (August 2024). (2024):
- Machine learning-based prediction model for disc cutter life in TBM excavation through hard rock formations. In: Tunnelling and Underground Space Technology, v. 150 (August 2024). (2024):
- Laboratory simulations on hybrid non-destructive survey of electrical resistivity and induced polarization to predict geological risks ahead of a TBM tunnel. In: Tunnelling and Underground Space Technology, v. 135 (Mai 2023). (2023):
- Surface settlement prediction for urban tunneling using machine learning algorithms with Bayesian optimization. In: Automation in Construction, v. 140 (August 2022). (2022):