TY  - JOUR
AU  - Bussons Gordo, Javier
AU  - Fernández Ruiz, Mario
AU  - Prieto Mateo, Manuel
AU  - Alvarado Díaz, Jorge
AU  - Chávez de la O, Francisco
AU  - Monstein, Christian
AU  - Hidalgo Pérez, José Ignacio
PY  - 2023
DO  - 10.1007/s11207-023-02171-0
SN  - 0038-0938
SN  - 1573-093X
UR  - https://hdl.handle.net/20.500.14352/117342
T2  - Solar Physics
AB  - 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 for model training, performance evaluation, and feedback to the model...
LA  - eng
M2  - 1
PB  - Springer Nature
KW  - e-Callisto
KW  - Solar radio burst
KW  - Spectrogram
KW  - Deep learning
TI  - Automatic Burst Detection in Solar Radio Spectrograms Using Deep Learning: deARCE Method
TY  - journal article
VL  - 298
ER  -