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O.H. Kobya

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Data-Driven Optimization of Slow Sand Filters

Machine Learning for New Design Paradigms

This thesis presents a comprehensive investigation into the optimization of Slow Sand Filter (SSF) performance through data driven modeling, with a focus on bacterial (E. coli, Coliform) and viral (Enterovirus, Adenovirus, Bacteriophage MS2) removal efficiencies. Combining an ext ...