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Automated detection and classification of solar radio bursts in CALLISTO spectrograms using deep-learning YOLOv5 model and ensemble methods

Context. Solar radio bursts in the meter and decameter range wavelengths are indicators of eruptive events in the solar corona. They are routinely monitored by the global Compound Astronomical Low-cost Low-frequency Instrument for Spectroscopy and Transportable Observatory (CALLISTO) network. The de...

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Autori principali: Tassan-Din Elisa, Gunessee Akhil, Vong Philippe, Marqué Christophe, Dolla Laurent, Martínez Picar Antonio, Monstein Christian
Natura: Artigo
Lingua:Inglês
Pubblicazione: EDP Sciences 2026-01-01
Serie:Journal of Space Weather and Space Climate
Soggetti:
sun radio radiation
image processing
deep learning
ensemble method
Accesso online:https://www.swsc-journal.org/articles/swsc/full_html/2026/01/swsc250104/swsc250104.html
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