Automatic Burst Detection in Solar Radio Spectrograms Using Deep Learning: deARCE Method
Automatic Burst Detection in Solar Radio Spectrograms Using Deep Learning: deARCE Method
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Publisher
Dordrecht: Springer Netherlands
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Language
English
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Publisher
Dordrecht: Springer Netherlands
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Contents
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 generator has been developed with special emphasis on i) robustness tests against stochastic and overf...
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Full title
Automatic Burst Detection in Solar Radio Spectrograms Using Deep Learning: deARCE Method
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TN_cdi_proquest_journals_2827359699
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2827359699
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ISSN
0038-0938
E-ISSN
1573-093X
DOI
10.1007/s11207-023-02171-0
