Jihye Sung

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.