M. S. Mesgari

Integrated machine-learning and clustering framework for selecting temporary shelters in flood-prone cities

Urban flooding has become a growing concern due to rapid land development and increasingly unpredictable climate patterns. Effective emergency response—particularly the strategic placement of temporary shelters—is crucial for minimizing the impacts of disasters. This study presents a data-driven framework for identifyi...