CORDIS Project
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The Active Region Classification and Flare Forecasting project aims to enhance solar flare forecasting using advanced deep learning models. By analyzing extensive solar observation data, it seeks to improve the accuracy and timeliness of flare predictions, including uncertainties, to better understand and predict space…
The Sun is an enigmatic star that produces the most powerful explosive events in our solar system - solar flares and coronal mass ejections.
Studying these phenomena can provide a unique opportunity to develop a deeper understanding of fundamental processes on the Sun, and critically, to better forecast space weather.
The Active Region Classification and Flare Forecasting (ARCAFF) project will develop a beyond state-of-the-art flare forecasting system utilising end-to-end deep learning (DL) mode…
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