Matches in Nanopublications for { <https://w3id.org/np/RAjO8tdVOla9I77PeXF4iY92ULngrpx5_ZSKFkVrCmsW0/interventionGroup> ?p ?o ?g. }
Showing items 1 to 1 of
1
with 100 items per page.
- interventionGroup description "Machine learning and deep learning algorithms applied to Sentinel-2 multispectral imagery for wildfire applications, including convolutional neural networks (CNN, U-Net, ResNet, EfficientNet), random forest, support vector machines, gradient boosting methods, and attention-based architectures. Includes both uni-temporal and bi-temporal approaches, as well as fusion with Sentinel-1 SAR data" assertion.