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Extreme Solar Flare Prediction Using Residual Networks with HMI Magnetograms and Intensitygrams
Solar flares, especially C, M, and X class, pose significant risks to satellite operations, communication systems, and power grids.
Analysis and Predictive Modeling of Solar Coronal Holes Using Computer Vision and LSTM Networks
In the era of space exploration, coronal holes on the sun play a significant role due to their impact on satellites and aircraft through their open magnetic fields and increased solar wind emissions.
A least distance estimator for a multivariate regression model using deep neural networks
We propose a deep neural network (DNN) based least distance (LD) estimator (DNN-LD) for a multivariate regression problem, addressing the limitations of the conventional methods.
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