Table 21.
Dataset | vGRF Signal | CNN Classifier | Time Window | Frequency Range | Classification Task | Evaluation Parameters | ||||
---|---|---|---|---|---|---|---|---|---|---|
Sen (%) | Spec (%) | Acc (%) | AUC | |||||||
Ju | LF | ResNet-50 | 10 s | 0.83–1.95 Hz | Multi-Class | Class 0 | 96.98 | 99.67 | 99.20 | 0.9833 |
ResNet-50 | 10 s | 0.83–1.95 Hz | Class 2 | 96.59 | 98.44 | 97.86 | 0.9751 | |||
AlexNet | 10 s | 1.95–50 Hz | Class 2.5 | 97.39 | 96.52 | 96.88 | 0.9695 | |||
AlexNet | 30 s | 0.83–1.95 Hz | Class 3 | 97.14 | 98.65 | 98.49 | 0.9790 | |||
ResNet-101 | 10 s | 0.83–1.95 Hz | Two-Class | 98.49 | 98.95 | 98.84 | 0.9968 | |||
RF | AlexNet | 10 s | 1.95–50 Hz | Multi-Class | Class 0 | 97.99 * | 99.24 * | 99.02 * | 0.9861 * | |
ResNet-101 | 10 s | 0.83–1.95 Hz | Class 2 | 97.73 * | 97.40 * | 97.50 * | 0.9756 * | |||
ResNet-101 | 10 s | 0.83–1.95 Hz | Class 2.5 | 95.87 | 96.36 | 96.16 | 0.9612 | |||
ResNet-50 | 15 s | 0.83–1.95 Hz | Class 3 | 95.83 | 98.48 | 98.22 | 0.9716 | |||
GoogLeNet | 10 s | 0.83–1.95 Hz | Two-Class | 97.97 | 98.72 | 98.57 | 0.9895 | |||
CF | AlexNet | 10 s | 1.95–50 Hz | Multi-Class | Class 0 | 98.49 | 98.91 | 98.84 | 0.9870 | |
ResNet-50 | 10 s | 0.83–1.95 Hz | Class 2 | 96.02 | 98.18 | 97.50 | 0.9710 | |||
AlexNet | 10 s | 1.95–50 Hz | Class 2.5 | 96.52 * | 97.88 * | 97.32 * | 0.9720 * | |||
AlexNet | 10 s | 1.95–50 Hz | Class 3 | 100 * | 99.01 * | 99.11 * | 0.9951 * | |||
ResNet-101 | 10 s | 0.83–1.95 Hz | Two-Class | 98.94 * | 99.04 * | 99.01 * | 0.9993 * |
Note: * denotes the best classification result and was selected using Youden’s index criteria.