activity
20172025
most citedSupervised convolutional neural networks for classification of flaring and nonflaring active regions using line-of-sight magnetograms

29 citations · 127 across the 12 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

astro-ph.SR2020★ 10 cited

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…

astro-ph.SR2020★ 29 cited

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…