- Advancing railway track health monitoring: Integrating GPR, InSAR and machine learning for enhanced asset management
- Data-driven corrosion inhibition efficiency prediction model incorporating 2D–3D molecular graphs and inhibitor concentration
- Machine learning approach to railway ballast degradation prognosis considering crumb rubber modification and parent rock strength