SHINE: Multimodal Machine Learning Approaches for Solar Energetic Particles Events Prediction and Posthoc Analysis
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Solar Energetic Particle (SEP) events are bursts of high-energy particles from the Sun that can disrupt satellites, navigation systems, and human spaceflight. Predicting these events remains challenging because they are rare and driven by complex solar activity. This project will apply machine-learning methods to space-based observations spanning…
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