6 citations · 7 across the 13 of their papers we have counts for
4 papers · 1 filter
Solar Active Regions Emergence Prediction Using Long Short-Term Memory Networks
Spiridon Kasapis, Irina N. Kitiashvili, Alexander G. Kosovichev +1
We developed Long Short-Term Memory (LSTM) models to predict the formation of active regions (ARs) on the solar surface. Using the Doppler shift velocity, the continuum intensity,…
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…
Predicting the Emergence of Solar Active Regions Using Machine Learning
Spiridon Kasapis, Irina N. Kitiashvili, Alexander G. Kosovichev +2
To create early warning capabilities for upcoming Space Weather disturbances, we have selected a dataset of 61 emerging active regions, which allows us to identify characteristic f…
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…