Table 4 Classification accuracy (%) of different models under composite industrial noise (CIN).
Model/SNR(dB) | 3 | 0 | −3 | −6 | −9 | −12 |
|---|---|---|---|---|---|---|
SVM | 78.2 | 68.5 | 59.4 | 49.1 | 41.3 | 35.5 |
ResNet-1D | 89.4 | 79.1 | 68.8 | 59.3 | 52.5 | 48.2 |
Swin transformer | 90.1 | 81.0 | 72.5 | 63.2 | 56.1 | 51.4 |
MSA-ResNet-1D | 91.3 | 84.2 | 77.4 | 69.0 | 61.8 | 55.3 |
ARDDMA-Net | 94.1 | 91.3 | 87.7 | 83.6 | 78.1 | 71.5 |