29 citations · 55 across the 3 of their papers we have counts for
4 papers
Deep learning reconstruction of sunspot vector magnetic fields for forecasting solar storms
Dattaraj B. Dhuri, Shamik Bhattacharjee, Shravan M. Hanasoge +1
Solar magnetic activity produces extreme solar flares and coronal mass ejections, which pose grave threats to electronic infrastructure and can significantly disrupt economic activ…
Application and interpretation of deep learning for identifying pre-emergence magnetic-field patterns
Dattaraj B. Dhuri, Shravan M. Hanasoge, Aaron C. Birch +1
Magnetic flux generated within the solar interior emerges to the surface, forming active regions (ARs) and sunspots. Flux emergence may trigger explosive events, such as flares and…
Supervised convolutional neural networks for classification of flaring and nonflaring active regions using line-of-sight magnetograms
Shamik Bhattacharjee, Rasha Alshehhi, Dattaraj B. Dhuri +1
Solar flares are explosions in the solar atmosphere that release intense bursts of short-wavelength radiation and are capable of producing severe space-weather consequences. Flares…
Machine learning reveals systematic accumulation of electric current in lead-up to solar flares
Dattaraj B. Dhuri, Shravan M. Hanasoge, Mark C. M. Cheung
Solar flares - bursts of high-energy radiation responsible for severe space-weather effects - are a consequence of the occasional destabilization of magnetic fields rooted in activ…