Laiba Qamar

Study-Disjoint Machine Learning for Concrete Compressive Strength

This study developed and evaluated machine-learning models for predicting 28-day cylinder compressive strength of concrete using a literature-derived dataset of 1,456 mixtures collected from 136 source studies. Eight recorded mixture quantities were used as the original inputs. Source-study identity and cross-study dup...