The automated prediction of solar flares from SDO images using deep learning
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[1] Y. Moon,et al. PREDICTION OF DAILY MAXIMUM X-RAY FLUX USING MULTILINEAR REGRESSION AND AUTOREGRESSIVE TIME-SERIES METHODS , 2007 .
[2] Rafal A. Angryk,et al. Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data , 2019, 2019 IEEE International Conference on Big Data (Big Data).
[3] Rami Qahwaji,et al. Automated Solar Activity Prediction: A hybrid computer platform using machine learning and solar imaging for automated prediction of solar flares , 2009 .
[4] Huaning Wang,et al. Influences of misprediction costs on solar flare prediction , 2012 .
[5] Rami Qahwaji,et al. Solar Flare Prediction Using Advanced Feature Extraction, Machine Learning, and Feature Selection , 2011, Solar Physics.
[6] Yoram Singer,et al. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , 2011, J. Mach. Learn. Res..
[7] Haimin Wang,et al. Active-Region Monitoring and Flare Forecasting – I. Data Processing and First Results , 2002 .
[8] A. F. Barghouty,et al. A tool for empirical forecasting of major flares, coronal mass ejections, and solar particle events from a proxy of active‐region free magnetic energy , 2011 .
[9] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[10] Fuh-Gwo Yuan,et al. Impact diagnosis in stiffened structural panels using a deep learning approach , 2020, Structural Health Monitoring.
[11] Y. Moon,et al. Application of the Deep Convolutional Neural Network to the Forecast of Solar Flare Occurrence Using Full-disk Solar Magnetograms , 2018, The Astrophysical Journal.
[12] Haimin Wang,et al. Predicting Solar Flares Using SDO/HMI Vector Magnetic Data Products and the Random Forest Algorithm , 2017, 1706.02422.
[13] Zhiguang Wang,et al. Deep Learning Technology for Predicting Solar Flares from (Geostationary Operational Environmental Satellite) Data , 2018 .
[14] D. S. Bloomfield,et al. TOWARD RELIABLE BENCHMARKING OF SOLAR FLARE FORECASTING METHODS , 2012, 1202.5995.
[15] H. Cane,et al. Geoeffectiveness (Dst and Kp) of interplanetary coronal mass ejections during 1995–2009 and implications for storm forecasting , 2011 .
[16] Ayman El-Sayed,et al. Multi-Biometric Systems: A State of the Art Survey and Research Directions , 2015, International Journal of Advanced Computer Science and Applications.
[17] Derek C. Rose,et al. Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier] , 2010, IEEE Computational Intelligence Magazine.
[18] David G. Stork,et al. Pattern Classification , 1973 .
[19] Monica G. Bobra,et al. SOLAR FLARE PREDICTION USING SDO/HMI VECTOR MAGNETIC FIELD DATA WITH A MACHINE-LEARNING ALGORITHM , 2014, 1411.1405.
[20] Jinfu Liu,et al. Deep Learning Based Solar Flare Forecasting Model. I. Results for Line-of-sight Magnetograms , 2018 .
[21] Volodymyr Turchenko,et al. Creation of a deep convolutional auto-encoder in Caffe , 2015, 2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS).
[22] Feng Lin,et al. A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction , 2021, IEEE Transactions on Intelligent Transportation Systems.
[23] Xin Huang,et al. Solar flare forecasting using learning vector quantity and unsupervised clustering techniques , 2011 .
[24] Predicting Solar Flares Using a Novel Deep Convolutional Neural Network , 2020 .
[25] Li Jun Jiang,et al. Enhanced Deep Learning Approach Based on the Deep Convolutional Encoder–Decoder Architecture for Electromagnetic Inverse Scattering Problems , 2020, IEEE Antennas and Wireless Propagation Letters.
[26] Mark Moldwin,et al. An Introduction to Space Weather , 2008 .
[27] Rami Qahwaji,et al. Automated Feature Detection and Solar Flare Prediction Using SDO Data , 2010 .
[28] Y Ichioka,et al. Parallel distributed processing model with local space-invariant interconnections and its optical architecture. , 1990, Applied optics.
[29] Rami Qahwaji,et al. Automated McIntosh-Based Classification of Sunspot Groups Using MDI Images , 2008 .
[30] Manolis K. Georgoulis,et al. Predicting Flares and Solar Energetic Particle Events: The FORSPEF Tool , 2017 .
[31] Mohamed Abid,et al. Development a New Algorithm for Iris Biometric Recognition , 2012 .
[32] Stanley S. Ipson,et al. A multi-biometric iris recognition system based on a deep learning approach , 2017, Pattern Analysis and Applications.
[33] Jiasong Wu,et al. Quaternion softmax classifier , 2014 .
[34] Lubaina Ehsan,et al. HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach , 2020, Inf..
[35] Rami Qahwaji,et al. Automatic Short-Term Solar Flare Prediction Using Machine Learning and Sunspot Associations , 2007 .
[36] Jamal Kharroubi,et al. A deep learning approach for speaker recognition , 2020, Int. J. Speech Technol..
[37] Jinung An,et al. Minimizing inter-subject variability in fNIRS based Brain Computer Interfaces via multiple-kernel support vector learning , 2012, Medical engineering & physics.
[38] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.