Vedat Tümen

A Hybrid Deep Learning Approach for Early Detection of Wildfires Using Transformer Models and Feature Fusion Techniques

Natural disasters, particularly wildfires, pose a serious threat to ecosystems, human lives, and infrastructure, making rapid and accurate fire detection essential for effective disaster management. Despite recent advances in deep learning-based wildfire detection, conventional C...

Predicting and Explaining Economic Losses from Natural Disasters: A Post-Hoc Machine Learning and Explainable AI Approach

This study develops a post hoc machine-learning and explainable artificial intelligence framework for predicting and interpreting the economic losses associated with natural disasters using 5051 records from the EM-DAT database covering 1975–2025. To address dependence among coun...