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 …

Solar flares are explosions on the Sun. They happen when energy stored in magnetic fields
around solar active regions (ARs) is suddenly released. Solar flares and accompanied …

Solar flare prediction is a central problem in space weather forecasting. Existing solar flare
prediction tools are mainly dependent on the GOES classification system, and models …

The Spaceweather HMI Active Region Patch (SHARP) parameters have been widely used
to develop flare prediction models. The relatively small number of strong-flare events leads …

Coronal mass ejections (CMEs) that cause geomagnetic disturbances on the Earth can be
found in conjunction with flares, filament eruptions, or independently. Though flares and …

This study explores the behavior of machine-learning-based flare forecasting models
deployed in a simulated operational environment. Using Georgia State University's Space …

Space weather events can have a significant impact on electric systems and health, with
solar flares being one of the central events in space weather forecasting. However, existing …

Although space weather events may not directly affect human life, they have the potential to
inflict significant harm upon our communities. Harmful space weather events can trigger …

Data processing plays a significant role in improving the performance of machine learning
models. In an IoT network, data generated by sensor nodes will be multivariate and consist …

Solar flares, originating from sudden energy releases in the Sun's atmosphere, pose
significant risks to spaceborne and terrestrial technological systems, including satellite …