With fire seasons growing longer and more dangerous across Southern Europe and the Mediterranean, researchers have developed and assessed a new deep learning framework that ... 64×64 pixel burned area ...

In this paper, a Fire Hawk Optimization ... on the hybrid cloud container architecture for migrating interoperability based applications This FHOEDLS achieves the load prediction through the ...

This week, researchers from the European Centre for Medium-Range Weather Forecasts (ECMWF) unveiled a new machine learning ... architecture,” reads the paper. To improve fire prediction even ...

Leveraging deep learning, particularly Convolutional Neural ... gap and improves interpretability and accuracy. The suggested ResNet-CNN model uses ensemble learning to stabilize predictions across ...

The authors used their own gathered normal-spectrum fire dataset to detect fire using XceptionNet’s pre-trained convolutional neural network (CNN ... with ensemble learning algorithms VGG-16 has a ...

Abstract: In recent years, Portugal has seen wide variability in wildfire damage ... and specificity using deep learning-based architectures. It proposes a solution based on a Dual-Channel CNN that ...

The baseline SmokeyNet is a spatiotemporal model consisting of three different deep learning models: Convolutional Neural Network (CNN), Long Short ... s image-based smoke predictions with weather ...

The unmanned aerial vehicle network (UAV net) has been attracting substantial attention as a solution of wildfire surveillance. Application of federated learning ... (CNN) models and layers with ...