3 papers
cs.CV2026
A Large Scale Open-Source Image and Video Dataset for Robust Wildfire Detection and Classification
Emadeldeen Hamdan, Yingyi Luo, B. Ugur Toreyin +4
Wildfire detection and monitoring are critical for mitigating fire spread and reducing environmental and infrastructural damage. In this work, we introduce GWFP (Global Wildfire Pr…
cs.LG2026
Inverse Reconstruction of Shock Time Series from Shock Response Spectrum Curves using Machine Learning
Adam Watts, Andrew Jeon, Destry Newton +1
The shock response spectrum (SRS) is widely used to characterize the response of single-degree-of-freedom (SDOF) systems to transient accelerations. Because the mapping from accele…
cs.CV2026
Deep Learning Based Wildfire Detection for Peatland Fires Using Transfer Learning
Emadeldeen Hamdan, Ahmad Faiz Tharima, Mohd Zahirasri Mohd Tohir +4
Machine learning (ML)-based wildfire detection methods have been developed in recent years, primarily using deep learning (DL) models trained on large collections of wildfire image…