Jesús D. Escalante-Tovar

Machine Learning-Based prediction of flexural strength in recycledaggregate concrete: a K-Nearest Neighbors approach

Predicting the flexural strength of recycled aggregate concrete (RAC) is challenging because recycled constituents introduce variability and nonlinear interactions. This study develops a K-nearest neighbors (KNN) model to predict 90-day flexural strength using 366 mix designs collected from peer-reviewed studies publis...