Table 20.
Dataset | vGRF Signal | CNN Classifier | Time Window | Frequency Range | Classification Task | Evaluation Parameters | ||||
---|---|---|---|---|---|---|---|---|---|---|
Sen (%) | Spec (%) | Acc (%) | AUC | |||||||
Ga | LF | GoogLeNet | 15 s | 0.83–1.95 Hz | Multi-Class | Class 0 | 97.98 | 99.17 | 98.77 | 0.9857 |
AlexNet | 10 s | 1.95–50 Hz | Class 2 | 95.93 | 98.25 | 97.40 | 0.9709 | |||
AlexNet | 10 s | 1.95–50 Hz | Class 2.5 | 93.75 | 98.83 | 97.92 | 0.9629 | |||
AlexNet | 30 s | 1.95–50 Hz | Class 3 | 98.21 | 97.44 | 97.54 | 0.9783 | |||
ResNet-50 | 15 s | 0.83–1.95 Hz | Two-Class | 99.01 | 99.17 | 99.11 | 0.9996 | |||
RF | ResNet-101 | 10 s | 0.83–1.95 Hz | Multi-Class | Class 0 | 98.43 | 99 | 98.81 | 0.9872 | |
AlexNet | 10 s | 1.95–50 Hz | Class 2 | 97.97 * | 97.78 * | 97.85 * | 0.9787 * | |||
AlexNet | 15 s | 0.83–1.95 Hz | Class 2.5 | 96.88 * | 96.88 * | 96.88 * | 0.9688 * | |||
ResNet-50 | 10 s | 1.95–50 Hz | Class 3 | 94.05 | 99.24 | 98.59 | 0.9664 | |||
AlexNet | 10 s | 1.95–50 Hz | Two-Class | 99.56 | 98.18 | 98.59 | 0.9941 | |||
CF | AlexNet | 15 s | 1.95–50 Hz | Multi-Class | Class 0 | 98.65 * | 99 * | 98.89 * | 0.9883 * | |
AlexNet | 15 s | 1.95–50 Hz | Class 2 | 96.65 | 98.42 | 97.77 | 0.9753 | |||
AlexNet | 15 s | 1.95–50 Hz | Class 2.5 | 91.88 | 99.19 | 97.88 | 0.9553 | |||
AlexNet | 15 s | 1.95–50 Hz | Class 3 | 99.11 * | 98.98 * | 99 * | 0.9904 * | |||
ResNet50 | 10 s | 0.83–1.95 Hz | Two-Class | 99.77 * | 98.80 * | 99.11 * | 0.9995 * |
Note: * denotes the best classification result and was selected using Youden’s index criteria.