224 citations · 481 across the 10 of their papers we have counts for
12 papers · 1 filter
Review of Machine Learning Models for Solar Energetic Particle Prediction
Spiridon Kasapis, Pouya Hosseinzadeh, Kathryn Whitman +73
Solar energetic particle (SEP) events have attracted increasing attention due to their significant radiation hazards for aviation, spacecraft electronics, and human missions beyond…
Incorporating Polar Field Data for Improved Solar Flare Prediction
Mehmet Aktukmak, Zeyu Sun, Monica Bobra +4
In this paper, we consider incorporating data associated with the sun's north and south polar field strengths to improve solar flare prediction performance using machine learning m…
Predicting Solar Flares Using CNN and LSTM on Two Solar Cycles of Active Region Data
Zeyu Sun, Monica G. Bobra, Xiantong Wang +5
We consider the flare prediction problem that distinguishes flare-imminent active regions that produce an M- or X-class flare in the future 24 hours, from quiet active regions that…
SMARPs and SHARPs: Two Solar Cycles of Active Region Data
Monica G. Bobra, Paul J. Wright, Xudong Sun +1
We present a new data product, called Space-Weather MDI Active Region Patches (SMARPs), derived from maps of the solar surface magnetic field taken by the Michelson Doppler Imager…
A Machine-Learning-Ready Dataset Prepared from the Solar and Heliospheric Observatory Mission
Carl Shneider, Andong Hu, Ajay K. Tiwari +4
We present a Python tool to generate a standard dataset from solar images that allows for user-defined selection criteria and a range of pre-processing steps. Our Python tool works…
A Machine Learning Dataset Prepared From the NASA Solar Dynamics Observatory Mission
Richard Galvez, David F. Fouhey, Meng Jin +8
In this paper we present a curated dataset from the NASA Solar Dynamics Observatory (SDO) mission in a format suitable for machine learning research. Beginning from level 1 scienti…