Hydraulic engineering research has long focused on understanding and predicting scour depth around bridge piers, a critical factor in maintaining structural integrity of bridges. This study delves into applying soft computing methods, specifically machine learning algorithms, to model and simulate local scour depth around simple piers. Leveraging a robust dataset compiled from various sources and utilizing five distinct models...