15 citations · 28 across the 4 of their papers we have counts for
4 papers
Type II and Type III Solar Radio Burst Classification Using Transfer Learning
Herman le Roux, Ruhann Steyn, Du Toit Strauss +6
The Sun periodically emits intense bursts of radio emission known as solar radio bursts (SRBs). These bursts can disrupt radio communications and be indicative of large solar event…
Improved Type III solar radio burst detection using congruent deep learning models
Jeremiah Scully, Ronan Flynn, Peter Gallagher +2
Solar flares are energetic events in the solar atmosphere that are often linked with solar radio bursts (SRBs). SRBs are observed at metric to decametric wavelengths and are classi…
First Results from the REAL-time Transient Acquisition backend (REALTA) at the Irish LOFAR station
P. C. Murphy, P. Callanan, J. McCauley +27
Modern radio interferometers such as the LOw Frequency ARray (LOFAR) are capable of producing data at hundreds of gigabits to terabits per second. This high data rate makes the ana…
Type III solar radio burst detection and classification: A deep learning approach
Jeremiah Scully, Ronan Flynn, Eoin Carley +2
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…