9 citations · 9 across the 2 of their papers we have counts for
2 papers
astro-ph.IM2022
Deep Learning for Space Weather Prediction: Bridging the Gap between Heliophysics Data and Theory
John C. Dorelli, Chris Bard, Thomas Y. Chen +11
Traditionally, data analysis and theory have been viewed as separate disciplines, each feeding into fundamentally different types of models. Modern deep learning technology is begi…
physics.space-ph2018★ 9 cited
On the Persistent Shape and Coherence of Pulsating Auroral Patches
B. K. Humberset, J. W. Gjerloev, I. R. Mann +2
The pulsating aurora covers a broad range of fluctuating shapes that are poorly characterized. The purpose of this paper is therefore to provide objective and quantitative measures…