Solar Flare Forecasting Using Machine Learning and SDO/HMI Data: A Multiple Machine Learning Model and Data Curation Technique Comparison Study

Forecasting solar flares is essential to mitigate their harmful effects on our technologies. This paper describes an in-depth study of solar flare forecasting using machine learning (ML) models. These ML models utilize active region patch parameters extracted from the Solar Dynamics Observatory Heli...

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Bibliografische gegevens

Hoofdauteurs:	Timothy S. Newman, Christian W. Hall, Luke Farris, Talwinder Singh, Nikolai Pogorelov, Bernard Benson, Syed Raza, Prajun Trital
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	IOP Publishing 2025-01-01
Reeks:	The Astrophysical Journal Supplement Series
Onderwerpen:	Support vector machine Random Forests Classification Space weather
Online toegang:	https://doi.org/10.3847/1538-4365/adf8e0
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