We present in detail an automatic radio-burst detection system, based on the AlexNet
convolutional neural network, for use with any kind of solar spectrogram. A full methodology …

A solar radio burst is the enhancement of radio emission during the release of solar
magnetic energy. It is an important indicator of the level of solar activity. In this paper, we …

In the context of next-generation radio-astronomical visual surveys, automated object
detection and segmentation are necessary tasks to support astrophysics research from …

Coronal mass ejections (CMEs) are major drivers of geomagnetic storms, which may cause
severe space weather effects. Automating the detection, tracking, and three-dimensional …

Solar radio bursts (SRBs) are extreme space weather events characterized by intense solar
radio emissions that are closely related to solar flares. They represent signatures of the …

Solar Radio Bursts (SRBs) are generally observed in dynamic spectra and have five major
spectral classes, labelled Type I to Type V depending on their shape and extent in frequency …

The most typical observational features of solar radio spikes are their short duration and
narrow bandwidth. We have improved the YOLOv5s network model for these characteristics …

Rapid and proficient data retrieval is an essential component of modern astronomical
research. In this paper, we address the challenge of retrieving astronomical image content …

Every 11 years, the Sun goes through periods of activity, with the occurrence of many solar
flares and coronal mass ejections, both energetic phenomena of magnetic origin. Due to its …

Solar radio spikes are short lived, narrow bandwidth features in low frequency solar radio
observations. The timing of their occurrence and the number of spikes in a given observation …