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Machine learning approach to railway ballast degradation prognosis considering crumb rubber modification and parent rock strength
Data-driven clay-fouled ballast permeability assessment using analytical-numerical and machine learning approaches
Advancing railway track health monitoring: Integrating GPR, InSAR and machine learning for enhanced asset management