4 papers
SolarGPT-QA: A Domain-Adaptive Large Language Model for Educational Question Answering in Space Weather and Heliophysics
Santosh Chapagain, MohammadReza EskandariNasab, Onur Vural +2
Solar activity, including solar flares, coronal mass ejections (CMEs), and geomagnetic storms can significantly impact satellites, aviation, power grids, data centers, and space mi…
Global Cross-Time Attention Fusion for Enhanced Solar Flare Prediction from Multivariate Time Series
Onur Vural, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi
Multivariate time series classification is increasingly investigated in space weather research as a means to predict intense solar flare events, which can cause widespread disrupti…
EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction
Onur Vural, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi
In heliophysics research, predicting solar flares is crucial due to their potential to impact both space-based systems and Earth's infrastructure substantially. Magnetic field data…
Contrastive Representation Learning for Predicting Solar Flares from Extremely Imbalanced Multivariate Time Series Data
Onur Vural, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi
Major solar flares are abrupt surges in the Sun's magnetic flux, presenting significant risks to technological infrastructure. In view of this, effectively predicting major flares…