Research has been conducted on using machine learning models to assess flood susceptibility in various regions, including the Kosi megafan in India and watersheds in Algeria and Nepal. Different techniques, such as integrating geospatial intelligence and optimization methods, have been explored to improve the accuracy of flood susceptibility mapping. The studies appear to focus on developing and comparing various data-driven approaches to evaluate flood risk in different areas.