Reconstructing He i 10830 Å Images Using H α Images through Deep Learning
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Marco Marena↗
Engineering topics
Qin Li
Publications and source records attributed to Qin Li.
Machine Learning in Heliophysics and space weather forecasting: a white paper of finding and recommendations
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 heliophysicists, data providers,expert modelers, and computer/data scientists. Their objective was to discuss critical developments and prospects of the application of machine and/or deep learning techniques for data analysis, modeling and forecasting in Heliophysics, and to shape a strategy for further developments in the field. The workshop combined a set of plenary sessions featuring invited introductory talks interleaved with a set of open discussion sessions. The outcome of the discussion is encapsulated in this white paper that also features a top-level list of recommendations agreed by participants
HSR↗
High-resolution Observations of Dynamics of Superpenumbral Hα Fibrils
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Ju Jing↗