A Systematic Literature Review of Machine Learning, Deep Learning, and Explainable AI for Predicting Mechanical Performance and Microplastic Release in Plastic Waste-Modified Asphalt
A new Explainable Deep Learning (XDL) architecture is suggested that allows predicting mechanical performance and microplastic emissions simultaneously with greater interpretability and will be used to develop data-driven, transparent, and sustainable pavement design strategies.
I. G. A. A. Putra, Z. U. Rizqi
· International Journal of Civ... · 0 citations