Table 6 Error analysis of the PASLR-DDPFEM methodology with existing models.
Methodology | \(\:\varvec{A}\varvec{c}\varvec{c}{\varvec{u}}_{\varvec{y}}\) | \(\:\varvec{P}\varvec{r}\varvec{e}{\varvec{c}}_{\varvec{n}}\) | \(\:\varvec{S}\varvec{e}\varvec{n}{\varvec{s}}_{\varvec{y}}\) | \(\:\varvec{S}\varvec{p}\varvec{e}{\varvec{c}}_{\varvec{y}}\) | \(\:\varvec{F}{1}_{\varvec{S}\varvec{c}\varvec{o}\varvec{r}\varvec{e}}\) |
|---|---|---|---|---|---|
CNN Classifier | 4.46 | 18.31 | 23.67 | 6.05 | 24.79 |
VGG16 Method | 11.00 | 18.41 | 22.72 | 9.06 | 18.67 |
EfficientNet V2 | 13.08 | 24.72 | 18.91 | 4.62 | 23.33 |
MobileNetV2 | 11.45 | 17.27 | 16.00 | 0.88 | 22.80 |
SignLan-Net | 15.28 | 22.06 | 18.20 | 3.37 | 24.14 |
Faster R-CNN | 4.13 | 21.45 | 23.42 | 2.40 | 22.51 |
Inception V3 | 8.34 | 18.16 | 16.05 | 7.91 | 21.76 |
PASLR-DDPFEM | 1.20 | 15.56 | 15.58 | 0.62 | 15.58 |
