Aiming to assess the progress and current challenges on the formidable problem of the
prediction of solar energetic events since the COSPAR/International Living With a Star …

Multiple neural network architectures, with different structural composition and complexity,
are implemented in this study with the aim of providing multi-hour-ahead warnings of severe …

Abstract Coronal Mass Ejections (CMEs) correspond to dramatic expulsions of plasma and
magnetic field from the solar corona into the heliosphere. CMEs are scientifically relevant …

The problem of nowcasting extreme weather events can be addressed by applying either
numerical methods for the solution of dynamic model equations or data-driven artificial …

Many evaluation metrics can be used to assess the performance of models in binary
classification tasks. However, most of them are derived from a confusion matrix in a non …

Operational flare forecasting aims at providing predictions that can be used to make
decisions, typically on a daily scale, about the space weather impacts of flare occurrence …

Digital twins-based predictive models find their roots in smart manufacturing. However, their
potential applications to control chart pattern recognition (CCPR) algorithms, which lie at the …

Space weather phenomena, including solar flares and coronal mass ejections, have
significant influence on Earth. These events can cause satellite orbital decay due to heat …

This study addresses the prediction of geomagnetic disturbances by exploiting machine
learning techniques. Specifically, the Long-Short Term Memory recurrent neural network …

We address the question of whether the solar limb flare prediction can be properly made by
EUV intensity, which has less projection effects than solar white light and magnetogram …