159 citations · 333 across the 4 of their papers we have counts for
4 papers
Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations
Gelu Nita, Manolis Georgoulis, Irina Kitiashvili +38
The authors of this white paper met on 16-17 January 2020 at the New Jersey Institute of Technology, Newark, NJ, for a 2-day workshop that brought together a group of heliophysicis…
Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks
Hao Liu, Chang Liu, Jason T. L. Wang +1
We present two recurrent neural networks (RNNs), one based on gated recurrent units and the other based on long short-term memory, for predicting whether an active region (AR) that…
Predicting Solar Flares Using a Long Short-Term Memory Network
Hao Liu, Chang Liu, Jason T. L. Wang +1
We present a long short-term memory (LSTM) network for predicting whether an active region (AR) would produce a gamma-class flare within the next 24 hours. We consider three gamma…
Predicting Solar Flares Using SDO/HMI Vector Magnetic Data Product and Random Forest Algorithm
Chang Liu, Na Deng, Jason T. L. Wang +1
Adverse space weather effects can often be traced to solar flares, prediction of which has drawn significant research interests. The Helioseismic and Magnetic Imager (HMI) produces…