An End-to-end Ensemble Machine Learning Approach for Predicting High-impact Solar Energetic Particle Events Using Multimodal Data
Solar energetic particle (SEP) events, in particular high-energy-range SEP events, pose significant risks to space missions, astronauts, and technological infrastructure. Accurate prediction of these high-impact events is crucial for mitigating potential hazards. In this study, we present an end-to-...
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| Principais autores: | , , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
IOP Publishing
2025-01-01
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| 叢編: | The Astrophysical Journal Supplement Series |
| 主題: | |
| 在線閱讀: | https://doi.org/10.3847/1538-4365/adb1c4 |
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