Open access
Sep 2026
Enhancing Machine Learning-Based Prediction of Electrical Conductivity in Cementitious Composites
In this study, machine learning approaches were used to predict the electrical conductivity of conductive cementitious composites under data-limited conditions and indicated that the mixing amount of conductive materials and fly ash content were among the most influential factors governing EC.
Jihye Sung, Min-Chang Kang, Jong W. Hu et al.
· International Journal of Con... · 0 citations