5 citations · 14 across the 7 of their papers we have counts for
7 papers
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…
Forecasting SEP Events During Solar Cycles 23 and 24 Using Interpretable Machine Learning
Spiridon Kasapis, Irina N. Kitiashvili, Paul Kosovich +4
Prediction of the Solar Energetic Particle (SEP) events garner increasing interest as space missions extend beyond Earth's protective magnetosphere. These events, which are, in mos…
Time Series of Magnetic Field Parameters of Merged MDI and HMI Space-Weather Active Region Patches as Potential Tool for Solar Flare Forecasting
Paul A. Kosovich, Alexander G. Kosovichev, Viacheslav M. Sadykov +8
Solar flare prediction studies have been recently conducted with the use of Space-Weather MDI (Michelson Doppler Imager onboard Solar and Heliospheric Observatory) Active Region Pa…
Statistical Study of the Correlation between Solar Energetic Particles and Properties of Active Regions
Russell D. Marroquin, Viacheslav Sadykov, Alexander Kosovichev +9
The flux of energetic particles originating from the Sun fluctuates during the solar cycles. It depends on the number and properties of Active Regions (ARs) present in a single day…
The Random Hivemind: An Ensemble Deep Learner Application to Solar Energetic Particle Prediction Problem
Patrick M. O'Keefe, Viacheslav Sadykov, Alexander Kosovichev +8
The application of machine learning and deep learning, including the wide use of non-ensemble, conventional neural networks (CoNN), for predicting various phenomena has become very…
Predicting Solar Proton Events of Solar Cycles 22-24 using GOES Proton & soft X-Ray flux features
Aatiya Ali, Viacheslav Sadykov, Alexander Kosovichev +9
Solar Energetic Particle (SEP) events and their major subclass, Solar Proton Events (SPEs), can have unfavorable consequences on numerous aspects of life and technology, making the…
Prediction of Solar Proton Events with Machine Learning: Comparison with Operational Forecasts and "All-Clear" Perspectives
Viacheslav Sadykov, Alexander Kosovichev, Irina Kitiashvili +7
Solar Energetic Particle events (SEPs) are among the most dangerous transient phenomena of solar activity. As hazardous radiation, SEPs may affect the health of astronauts in outer…