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Limits of Solar Flare Forecasting Models and New Deep Learning Approach*
G. Francisco, M. Berretti, S. Chierichini, R. Mugatwala, J. Fernandes, T. Barata and D. Del Moro The Astrophysical Journal 985(1) 108 (2025) https://doi.org/10.3847/1538-4357/adc56d
Artificial Intelligence for the Characterization of the 2024 May Superstorm: Active Region Classification, Flare Forecasting, and Geomagnetic Storm Prediction
Research Progress in Solar Flare Prediction Methods
Ke Han, Zhen Liu, Xian-Yi Zhao, Yi-Fei Li, De-Quan Zheng and Jie Wan Research in Astronomy and Astrophysics 25(3) 035025 (2025) https://doi.org/10.1088/1674-4527/adbd9f
Forecasting Geoffective Events from Solar Wind Data and Evaluating the Most Predictive Features through Machine Learning Approaches
Sabrina Guastavino, Katsiaryna Bahamazava, Emma Perracchione, Fabiana Camattari, Gianluca Audone, Daniele Telloni, Roberto Susino, Gianalfredo Nicolini, Silvano Fineschi, Michele Piana and Anna Maria Massone The Astrophysical Journal 971(1) 94 (2024) https://doi.org/10.3847/1538-4357/ad5b57
Short-term solar eruptive activity prediction models based on machine learning approaches: A review
Xin Huang, Zhongrui Zhao, Yufeng Zhong, Long Xu, Marianna B. Korsós and R. Erdélyi Science China Earth Sciences 67(12) 3727 (2024) https://doi.org/10.1007/s11430-023-1375-2
The influence of magnetic field parameters and time step on deep learning models of solar flare prediction
Jinfang Wei, Yanfang Zheng, Xuebao Li, Changtian Xiang, Pengchao Yan, Xusheng Huang, Liang Dong, Hengrui Lou, Shuainan Yan, Hongwei Ye, Xuefeng Li, Shunhuang Zhang, Yexin Pan and Huiwen Wu Astrophysics and Space Science 369(5) (2024) https://doi.org/10.1007/s10509-024-04314-6
Michele Piana 29 (2024) https://doi.org/10.1007/978-3-031-62963-1_2
Prediction of solar energetic events impacting space weather conditions
Manolis K. Georgoulis, Stephanie L. Yardley, Jordan A. Guerra, Sophie A. Murray, Azim Ahmadzadeh, Anastasios Anastasiadis, Rafal Angryk, Berkay Aydin, Dipankar Banerjee, Graham Barnes, Alessandro Bemporad, Federico Benvenuto, D. Shaun Bloomfield, Monica Bobra, Cristina Campi, Enrico Camporeale, Craig E. DeForest, A. Gordon Emslie, David Falconer, Li Feng, Weiqun Gan, Lucie M. Green, Sabrina Guastavino, Mike Hapgood, Dustin Kempton, et al. Advances in Space Research (2024) https://doi.org/10.1016/j.asr.2024.02.030
Solar Flare Forecasting Based on Magnetogram Sequences Learning with Multiscale Vision Transformers and Data Augmentation Techniques
Can Solar Limb Flare Prediction Be Properly Made by Extreme-ultraviolet Intensities?
Jaewon Lee, Yong-Jae Moon, Hyun-Jin Jeong, Kangwoo Yi and Harim Lee The Astrophysical Journal Letters 971(2) L47 (2024) https://doi.org/10.3847/2041-8213/ad6b9b
Operational solar flare forecasting via video-based deep learning
Sabrina Guastavino, Francesco Marchetti, Federico Benvenuto, Cristina Campi and Michele Piana Frontiers in Astronomy and Space Sciences 9 (2023) https://doi.org/10.3389/fspas.2022.1039805
Physics-driven Machine Learning for the Prediction of Coronal Mass Ejections’ Travel Times
Sabrina Guastavino, Valentina Candiani, Alessandro Bemporad, Francesco Marchetti, Federico Benvenuto, Anna Maria Massone, Salvatore Mancuso, Roberto Susino, Daniele Telloni, Silvano Fineschi and Michele, Piana The Astrophysical Journal 954(2) 151 (2023) https://doi.org/10.3847/1538-4357/ace62d
Deep neural networks of solar flare forecasting for complex active regions
A Strong-flare Prediction Model Developed Using a Machine-learning Algorithm Based on the Video Data Sets of the Solar Magnetic Field of Active Regions