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Machine learning in solar physics

Abstract The application of machine learning in solar physics has the potential to greatly enhance our understanding of the complex processes that take place in the atmosphere of the Sun. By using techniques such as deep learning, we are now in the position to analyze large amounts of data from sola...

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Autores principales: Andrés Asensio Ramos, Mark C. M. Cheung, Iulia Chifu, Ricardo Gafeira
Formato: Artigo
Lenguaje:Inglês
Publicado: Springer 2023-07-01
Colección:Living Reviews in Solar Physics
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Acceso en línea:https://doi.org/10.1007/s41116-023-00038-x
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