50 citations · 201 across the 21 of their papers we have counts for
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astro-ph.SR2020★ 9 cited
Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations
Gelu Nita, Manolis Georgoulis, Irina Kitiashvili +38
The authors of this white paper met on 16-17 January 2020 at the New Jersey Institute of Technology, Newark, NJ, for a 2-day workshop that brought together a group of heliophysicis…
astro-ph.SR2020★ 17 cited
Machine-learning approach to identification of coronal holes in solar disk images and synoptic maps
Egor Illarionov, Alexander Kosovichev, Andrey Tlatov
Identification of solar coronal holes (CHs) provides information both for operational space weather forecasting and long-term investigation of solar activity. Source data for the f…