Dian Ahmad Hapidin

A Decade of Machine Learning for Adsorption of Emerging Contaminants: A Systematic Review of Algorithms, Performance, and Methodological Transparency

Machine learning (ML) is increasingly applied to predict and optimize adsorption-based removal of emerging contaminants (ECs) from water, yet the literature remains fragmented across diverse algorithms, adsorbents, and pollutant classes, and existing reviews of the topic report n...