Hui-Ya Niu

Interpretable machine learning for predicting splitting strength of asphalt concrete: insights from SHAP analysis

An interpretable machine-learning framework for predicting the splitting strength of asphalt concrete and supporting data-driven mixture design and a GUI platform integrating prediction and SHAP-based explanation was developed to improve the accessibility and practical applicability of the proposed framework.