A study reveals machine learning algorithms can predict compressive strength in concrete with waste glass powder, enhancing sustainable construction practices.

In an article recently published in the open-access journal Materials, researchers discussed the artificial neural network (ANN) prediction of the compressive strength of waste-based concretes.