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Deep Learning Based Reconstruction of Total Solar Irradiance


Jul 23, 2021
Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang

* 8 pages, 11 figures 

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Tracing Halpha Fibrils through Bayesian Deep Learning


Jul 16, 2021
Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang

* 20 pages, 12 figures 

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DeepSun: Machine-Learning-as-a-Service for Solar Flare Prediction


Sep 04, 2020
Yasser Abduallah, Jason T. L. Wang, Yang Nie, Chang Liu, Haimin Wang

* 8 pages, 6 figures 

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Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning


Aug 27, 2020
Haodi Jiang, Jiasheng Wang, Chang Liu, Ju Jing, Hao Liu, Jason T. L. Wang, Haimin Wang

* The Astrophysical Journal Supplement Series, 250:5 (13pp), 2020 
* 17 pages, 12 figures 

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Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations


Jun 22, 2020
Gelu Nita, Manolis Georgoulis, Irina Kitiashvili, Viacheslav Sadykov, Enrico Camporeale, Alexander Kosovichev, Haimin Wang, Vincent Oria, Jason Wang, Rafal Angryk, Berkay Aydin, Azim Ahmadzadeh, Xiaoli Bai, Timothy Bastian, Soukaina Filali Boubrahimi, Bin Chen, Alisdair Davey, Sheldon Fereira, Gregory Fleishman, Dale Gary, Andrew Gerrard, Gregory Hellbourg, Katherine Herbert, Jack Ireland, Egor Illarionov, Natsuha Kuroda, Qin Li, Chang Liu, Yuexin Liu, Hyomin Kim, Dustin Kempton, Ruizhe Ma, Petrus Martens, Ryan McGranaghan, Edward Semones, John Stefan, Andrey Stejko, Yaireska Collado-Vega, Meiqi Wang, Yan Xu, Sijie Yu

* Workshop Report 

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Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks


Feb 22, 2020
Hao Liu, Chang Liu, Jason T. L. Wang, Haimin Wang

* The Astrophysical Journal, Volume 890, Number 1, 2020 
* 12 pages, 2 figures. arXiv admin note: text overlap with arXiv:1905.07095 

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Predicting Solar Flares Using a Long Short-Term Memory Network


May 17, 2019
Hao Liu, Chang Liu, Jason T. L. Wang, Haimin Wang

* 19 pages, 10 figures 

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