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- A Hybrid Numerical-ML Model for Predicting Geological Risks in Tunneling with Electrical Methods. Dans: KSCE Journal of Civil Engineering. :
- Influence Analysis of Pavement Distress on International Roughness Index Using Machine Learning. Dans: KSCE Journal of Civil Engineering, v. 28, n. 10 (août 2024). (2024):
- Surface settlement prediction for urban tunneling using machine learning algorithms with Bayesian optimization. Dans: Automation in Construction, v. 140 (août 2022). (2022):
- Classification of surface settlement levels induced by TBM driving in urban areas using random forest with data-driven feature selection. Dans: Automation in Construction, v. 135 (mars 2022). (2022):
- Bayesian Neural Network for Estimating Stress-Strain Behaviors of Frozen Sand. Dans: KSCE Journal of Civil Engineering, v. 26, n. 2 (décembre 2021). (2021):
- Effect of Biot's coefficient and fluid properties on isothermal H-M coupled consolidation analysis of porous media. Dans: KSCE Journal of Civil Engineering, v. 20, n. 6 (octobre 2015). (2015):