A pretrained Swin Transformer with transfer learning classifies solar radio spectra into burst, nonburst, and calibration with 100% true positive rate on the reported test split.
Wavelet NeighShrink Method for Grid Texture Removal in Image of Solar Radio Bursts
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Classification of Solar Radio Spectrum Based on Swin Transformer
A pretrained Swin Transformer with transfer learning classifies solar radio spectra into burst, nonburst, and calibration with 100% true positive rate on the reported test split.