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A partnership with the nonprofit Earth Fire Alliance and satellite manufacturer Muon Space is giving Google a better shot at ...
The study, titled “Wildfire Spread Forecasting with Deep Learning”, was published on arXiv. Led by researchers from the National Observatory of Athens and Universitat de València, the project ...
Prediction accuracy and stability were significantly enhanced via ensemble learning, especially in difficult scenarios where individual CNN models could have had challenges. In comparison to previous ...
When pile-fire and no-pile-fire components coexist in a mixed image, the frame is designated “pile-fire,” when there is no pile burn, the frame is labeled “no-pile-fire.” The Forward-Looking-Infrared ...
The research work presented in this paper evaluates the potential improvement in wildfire smoke detection accuracy and specificity using deep learning-based architectures. It proposes a solution based ...
Article Content. Researchers at the San Diego Supercomputer Center at UC San Diego have developed new deep learning models to continue improving efforts for early wildfire detection.These efforts at ...
The unmanned aerial vehicle network (UAV net) has been attracting substantial attention as a solution of wildfire surveillance. Application of federated learning (FL) for the UAV-net can provide an ...
Put simply, our full-frame binary detection (FireNet, InceptionV1-OnFire, InceptionV3-OnFire, InceptionV4-OnFire) architectures determine whether an image frame contains fire globally, whereas the ...
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