Table 4.
Transform analysis | Convolutional neural network model | 40-Minus |
40-Plus |
||||
---|---|---|---|---|---|---|---|
Train Accuracy |
Test Accuracy |
Validation Accuracy |
Train Accuracy |
Test Accuracy |
Validation Accuracy |
||
CWT | VGG16 | 100% | 100% | 100% | 99.86% | 95% | 94.29% |
VGG19 | 100% | 100% | 100% | 99.86% | 89.2% | 91.43% | |
Xception | 100% | 100% | 100% | 100% | 90% | 88.57% | |
InceptionV3 | 100% | 100% | 100% | 100% | 87.2% | 91.43% | |
MobileNetV2 | 100% | 100% | 100% | 100% | 100% | 90% | |
DenseNet201 | 100% | 100% | 100% | 100% | 92.86% | 94.29% | |
DenseNet121 | 100% | 100% | 100% | 100% | 91.4% | 92.86% | |
DenseNet169 | 100% | 100% | 100% | 100% | 92.86% | 92.86% | |
Ensemble CWT |
VGG16 | 98.33% | 100% | 100% | 87.67% | 87.5% | 90% |
VGG19 | 98% | 100% | 100% | 82% | 85% | 87.5% | |
Xception | 99.17% | 100% | 100% | 83% | 87% | 92% | |
InceptionV3 | 99.17% | 100% | 100% | 88.33% | 82.5% | 85% | |
MobileNetV2 | 99.67% | 100% | 100% | 97% | 90% | 85% | |
DenseNet201 | 99.5% | 100% | 100% | 87.17% | 92.5% | 90% | |
DenseNet121 | 99.17% | 100% | 100% | 88.17% | 87.5% | 87.5% | |
DenseNet169 | 99.83% | 100% | 100% | 91% | 87.5% | 90% | |
Spectrogram | VGG16 | 96.5% | 100% | 100% | 89.07% | 87.37% | 72% |
VGG19 | 96.7% | 97% | 100% | 91.47% | 78% | 76% | |
Xception | 98.6% | 100% | 100% | 100% | 74.51% | 64% | |
InceptionV3 | 98.9% | 100% | 100% | 100% | 85% | 74% | |
MobileNetV2 | 99.8% | 98% | 100% | 100% | 95% | 86% | |
DenseNet201 | 99.3% | 100% | 100% | 100% | 90% | 80% | |
DenseNet121 | 99.6% | 100% | 100% | 100% | 95% | 80% | |
DenseNet169 | 99.4% | 100% | 100% | 100% | 90% | 74% | |
Ensemble Spectrogram | VGG16 | 95.33% | 95% | 97.5% | 55.5% | 57.5% | 60% |
VGG19 | 94.33% | 95% | 95% | 59.5% | 70% | 65% | |
Xception | 99% | 100% | 95% | 84.83% | 82.5% | 72.5% | |
InceptionV3 | 99% | 100% | 100% | 77.67% | 85% | 87.5% | |
MobileNetV2 | 99.67% | 97.5% | 97.5% | 84.67% | 87.5% | 87.5% | |
DenseNet201 | 99.67% | 100% | 100% | 79.33% | 77.5% | 85% | |
DenseNet121 | 99% | 98% | 97.5% | 82.67% | 72.5% | 70% | |
DenseNet169 | 99.67% | 100% | 100% | 76.83% | 77.5% | 77.5% | |
WVD | VGG16 | 71.2% | 71% | 68% | 92.8% | 85% | 87.5% |
VGG19 | 75.3% | 76% | 70% | 94% | 85% | 95% | |
Xception | 88.6% | 94% | 90% | 100% | 83.15% | 82.5% | |
InceptionV3 | 91.5% | 94% | 87% | 100% | 95% | 90% | |
MobileNetV2 | 92.9% | 91% | 86% | 100% | 95% | 92.5% | |
DenseNet201 | 88.8% | 97% | 96% | 100% | 85% | 95% | |
DenseNet121 | 88.7% | 96% | 96% | 100% | 90% | 92.5% | |
DenseNet169 | 93.2% | 97% | 95% | 100% | 90% | 95% | |
Ensemble WVD |
VGG16 | 100% | 100% | 97.5% | 50% | 70% | 72.5% |
VGG19 | 100% | 97.5% | 97.5% | 63.67% | 50% | 50% | |
Xception | 100% | 95% | 90% | 89.17% | 97.5% | 92.5% | |
InceptionV3 | 100% | 95% | 100% | 91% | 87.5% | 87.5% | |
MobileNetV2 | 100% | 97.5% | 97.5% | 97.33% | 97.5% | 82.5% | |
DenseNet201 | 100% | 97.5% | 100% | 92.5% | 95% | 92.5% | |
DenseNet121 | 100% | 95% | 100% | 93.17% | 97.5% | 92.5% | |
DenseNet169 | 100% | 97.5% | 100% | 93.83% | 95% | 87.5% |