Showing 1–17 of 17 results
/ Date/ Name
Sep 4, 2020DeepSun: Machine-Learning-as-a-Service for Solar Flare PredictionMay 5, 2022A Deep Learning Approach to Dst Index PredictionMar 27, 2022Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM NetworkJul 23, 2021Deep Learning Based Reconstruction of Total Solar IrradianceJan 2, 2025Prediction of Geoeffective CMEs Using SOHO Images and Deep LearningNov 12, 2023A Closer Look at Small-Scale Magnetic Flux Ropes in the Solar Wind at 1 AU: Results from Improved Automated DetectionMay 25, 2024A Deep Learning Approach to Operational Flare ForecastingApr 11, 2026Daily Predictions of F10.7 and F30 Solar Indices with Deep LearningMar 5, 2025Prediction of Halo Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and a Transformer ModelMar 5, 2025Improving the Temporal Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using a Deep Generative ModelNov 15, 2023A Machine Learning Approach to Understanding the Physical Properties of Magnetic Flux Ropes in the Solar Wind at 1 AUNov 4, 2022A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO DataApr 11, 2026Predicting Associations between Solar Flares and Coronal Mass Ejections Using SDO/HMI Magnetograms and a Hybrid Neural NetworkDec 4, 2023Estimating Coronal Mass Ejection Mass and Kinetic Energy by Fusion of Multiple Deep-learning ModelsMar 27, 2024Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural NetworkFeb 27, 2024Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty QuantificationMar 15, 2017MapReduce Algorithms for Inferring Gene Regulatory Networks from Time-Series Microarray Data Using an Information-Theoretic Approach