Table 6 Error analysis of the SCGERS-STGCN methodology with existing models.
Methodology | \(Accu_{y}\) | \(Prec_{n}\) | \(Reca_{l}\) | \(F1_{score}\) |
|---|---|---|---|---|
CNN-BiLSTM | 11.53 | 12.49 | 14.23 | 9.03 |
1D-CNN | 12.38 | 13.39 | 11.33 | 16.33 |
GPTDS | 12.05 | 13.15 | 14.91 | 9.67 |
PC-TTA | 13.14 | 13.99 | 12.11 | 16.86 |
Vis-Net | 15.76 | 7.89 | 18.13 | 15.75 |
ViT-B/16/SAM | 18.60 | 11.60 | 18.13 | 15.80 |
5-layer model | 12.30 | 16.30 | 13.63 | 14.85 |
ResNet-50 algorithm | 12.73 | 13.73 | 15.63 | 10.40 |
CNN classifier | 13.70 | 14.70 | 12.90 | 17.42 |
GoogleNet method | 16.44 | 8.44 | 18.73 | 16.52 |
Inception model | 8.40 | 9.40 | 13.23 | 11.03 |
CNN-raspberry | 5.03 | 8.03 | 18.98 | 18.73 |
SCGERS-STGCN | 1.47 | 6.21 | 10.51 | 8.87 |