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Mohammadreza Mahmoudi

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Conference Open access 2026

Machine learning-driven modeling of soil plasticity and strength parameters with interpretability insights

This study proposes advanced stacking ensemble machine learning approaches to predict soil Liquidity Index and Undrained Shear Strength and highlights the robust potential of ensemble modeling and tailored optimization in the field of geotechnical engineering.

Giovanni Spagnoli, Mohammadreza Mahmoudi, S. Shimobe et al. · 0 citations