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Found 2 papers, 1 papers with code
Forecasting SEP Events During Solar Cycles 23 and 24 Using Interpretable Machine Learning
Prediction of the Solar Energetic Particle (SEP) events garner increasing interest as space missions extend beyond Earth's protective magnetosphere.
Predicting the Emergence of Solar Active Regions Using Machine Learning
To create early warning capabilities for upcoming Space Weather disturbances, we have selected a dataset of 61 emerging active regions, which allows us to identify characteristic features in the evolution of acoustic power density to predict continuum intensity emergence.
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