Author

Vedat Tumen

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Open access Sep 2026

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 CNN-based approaches are inherently limit...

Abdullah Şener, B. Ergen, Kubilay Demir et al. · Electronics · 0 citations

#explainable ai Open access Sep 2026

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

The results demonstrate that event-aware validation materially strengthens the methodological reliability of post hoc disaster-loss modelling while highlighting persistent limitations in cross-domain transferability and catastrophic-loss prediction.

Tarık Talan, Teyfik Giray, Adem Korkmaz et al. · Applied Sciences · 0 citations