Deep Learning Clears the Skies for Volcano Monitoring
AI closes the gap. Using a deep learning model that is trained to recognize signals of volcanic deformation, atmospheric features, and satellite errors, the researchers are now able to fill in the gaps in the noisy data, allowing them to accurately ...
AI closes the gap. Using a deep learning model that is trained to recognize signals of volcanic deformation, atmospheric features, and satellite errors, the researchers are now able to fill in the gaps in the noisy data, allowing them to accurately ...
AI, noisy data, deep learning model, Researchers, gaps, signals of volcanic deformation, satellite errors, atmospheric features
