Forecasting the Dst Index with Temporal Convolutional Network and Integrated Gradients
Authors (first, second and last of 11)
Collection
Applications of Machine Learning in Solar Physics
A collection of articles on applications of machine learning techniques in solar and heliophysics, such as solar feature detection and solar event classification, solar cycle prediction, space weather forecasting, etc.
While the Living Review "Machine learning in solar physics" (13 July 2023) serves as a general introduction to the topic, we encourage authors to submit their work on specific applications of machine learning methods, neural networks, and deep learning techniques in solar and heliophysics to the journal Solar Physics.
Editors
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Andrés Asensio Ramos
Instituto de Astrofísica de Canarias 38205 La Laguna, Tenerife Spain Departamento de Astrofísica Universidad de La Laguna 38205 La Laguna, Tenerife Spain
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Iñigo Arregui
Instituto de Astrofísica de Canarias La Laguna Spain
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Bernhard Fleck
ESA Science and Operations Department NASA/GSFC Code 671 Greenbelt, MD 20771 USA
Articles (24 in this collection)
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Comparative Analysis of Various Machine-Learning Models for Solar-Wind Propagation-Delay Estimation
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Cloud Removal of Full-Disk Solar H\(\alpha \) Images Based on RPix2PixHD
Authors (first, second and last of 5)
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Forecasting Medium-Term F10.7 Using the Deep-Learning Informer Model
Authors (first, second and last of 8)
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Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network
Authors (first, second and last of 7)
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Solar Flare Prediction and Feature Selection Using a Light-Gradient-Boosting Machine Algorithm
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Stacked 1D Convolutional LSTM (sConvLSTM1D) Model for Effective Prediction of Sunspot Time Series
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Stokes Inversion Techniques with Neural Networks: Analysis of Uncertainty in Parameter Estimation
Authors (first, second and last of 6)
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Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data with Deep Learning
Authors (first, second and last of 9)
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Automatic Burst Detection in Solar Radio Spectrograms Using Deep Learning: deARCE Method
Authors (first, second and last of 7)
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Study of Global Photospheric and Chromospheric Flows Using Local Correlation Tracking and Machine Learning Methods I: Methodology and Uncertainty Estimates
Authors (first, second and last of 6)
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An Improved Prediction of Solar Cycle 25 Using Deep Learning Based Neural Network
Authors (first, second and last of 5)
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Analysis of Geoeffective Impulsive Events on the Sun During the First Half of Solar Cycle 24
Authors (first, second and last of 7)
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Forecasting Solar Cycle 25 with Physical Model-Validated Recurrent Neural Networks
Authors (first, second and last of 5)
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Simulating Solar Radio Bursts Using Generative Adversarial Networks
Authors (first, second and last of 5)
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A Machine Learning Enhanced Approach for Automated Sunquake Detection in Acoustic Emission Maps
Authors (first, second and last of 5)
