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Author

Shuyong Pan

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Open access Aug 2026

Dynamic Modulus Prediction of Fiber-Reinforced Asphalt Mixtures Based on XGBoost Optimized by an Improved Black-Winged Kite Algorithm

An improved black-winged kite algorithm is employed to optimize eXtreme Gradient Boosting (XGBoost) for establishing a dynamic modulus prediction model that facilitates fiber screening and the intelligent refined design of pavement materials.

Xun-Qian Xu, Shu-Yong Pan, Cheng Zhou et al. · 0 citations

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