1 citations · 1 across the 4 of their papers we have counts for
4 papers
Prediction of Solar Flares Using Photospheric Magnetic Field Parameters with Deep Learning
Yash Chaudhary, Jason T. L. Wang, Chunhui Xu +2
Solar flares, particularly those of the M- and X-class, have a significant impact on human life because of their potential to disrupt critical infrastructure and communication syst…
Explainable AI in Deep Learning-Based Prediction of Solar Storms
Adam O. Rawashdeh, Jason T. L. Wang, Katherine G. Herbert
A deep learning model is often considered a black-box model, as its internal workings tend to be opaque to the user. Because of the lack of transparency, it is challenging to under…
A Deep Learning Approach to Operational Flare Forecasting
Yasser Abduallah, Jason T. L. Wang
Solar flares are explosions on the Sun. They happen when energy stored in magnetic fields around solar active regions (ARs) is suddenly released. In this paper, we present a transf…
Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network
Chunhui Xu, Jason T. L. Wang, Haimin Wang +4
Image super-resolution has been an important subject in image processing and recognition. Here, we present an attention-aided convolutional neural network (CNN) for solar image sup…