Machine Learning Approaches for Heavy Metal Adsorption in Water Treatment Systems: A Systematic Review
Introduction: Machine learning (ML) techniques have been increasingly applied to model Heavy metals (HMs) adsorption from aqueous environments; however, variations in datasets, evaluation strategies, and reporting practices have limited the development of generalizable conclusions regarding model performance. This syst...