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Open access Sep 2026

Spectral-Spatial Optimization of Deep Networks: A Frequency-Domain VGG Framework For Wildfire Detection

Wildfires pose an escalating global threat, inflicting severe ecological devastation and substantial economic liability annually. While conventional spatial-domain deep learning frameworks have advanced automated fire detection, their efficacy remains heavily constrained by environmental noise, variable illumination, a...

D. Kani, S. Saudia · 0 citations
Review Open access Sep 2026

Deep Chromatic Feature Engineering For High-Accuracy Wildfire Prediction Using Enhanced Convolutional Neural Network Architectures

Wildfires constitute a major global environmental hazard, causing extensive ecological damage, economic losses, infrastructure disruption, and threats to public safety. Although deep learning has substantially improved automated wildfire image classification, conventional spatial-domain models may be affected by illumi...

D. Kani, S. Saudia · 0 citations

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