Table 6.
The overall performance of double classes classification.
| Method | Study | Accuracy | Our accuracy | |
|---|---|---|---|---|
| 1-D-LBP + FT/BN | Kaya et al., 2014 | 99.50 | ||
| FFT and Decision tree | Polat and Güneş, 2007 | 98.70 | ||
| A-E | Wavelet transform | Lee et al., 2014 | 98.17 | 99.93 |
| Artificial neural networks | Nigam and Graupe, 2004 | 97.50 | ||
| CWT + CNN | Türk and Özerdem, 2019 | 99.50 | ||
| Robust CNN | Zhao et al., 2020 | 99.11 | ||
| CNN + M-V | Ullah et al., 2018 | 99.6 | ||
| B-E | CWT + CNN | Türk and Özerdem, 2019 | 99.50 | 99.72 |
| DTCWT + GRNN | Swami et al., 2016 | 98.9 | ||
| DWT + NB/KNN | Sharmila, 2016 | 99.25 | ||
| CWT + CNN | Türk and Özerdem, 2019 | 98.50 | ||
| CCNN + M-V | Ullah et al., 2018 | 99.1 | ||
| C-E | DTCWT + GRNN | Swami et al., 2016 | 98.7 | 99.35 |
| Robust CNN | Zhao et al., 2020 | 99.1 | ||
| P-1D-CNN | Ullah et al., 2018 | 98.02 | ||
| TQWT- K-NN Entropy | Abhijit et al., 2017 | 98.00 | ||
| CEEMDAN + RF | Jia et al., 2017 | 98.00 | ||
| D-E | DTCWT + GRNN | Swami et al., 2016 | 98.00 | 98.76 |
| Robust CNN | Zhao et al., 2020 | 97.63 | ||
| WPE + SVM | Tawfik et al., 2016 | 96.50 | ||
| DWT + NB/KNN | Sharmila, 2016 | 99.16 | ||
| AB-E | DTCWT + GRNN | Swami et al., 2016 | 99.2 | 99.75 |
| Robust CNN | Zhao et al., 2020 | 99.38 | ||
| BC-E | DWT+NB/K-NN | Sharmila, 2016 | 98.3 | 99.38 |
| 1-D-LBP + FT/BN | Kaya et al., 2014 | 97.00 | ||
| CD-E | DWT + NB/KNN | Sharmila, 2016 | 98.75 | 98.84 |
| Robust CNN | Zhao et al., 2020 | 98.03 | ||
| 1-D-LBP + FT/BN | Kaya et al., 2014 | 95.67 | ||
| A-D-E | LSP-SVM | Tuncer et al., 2019 | 95.67 | 97.81 |
| TQWT-QSP + 1N | Aydemir et al., 2020 | 99.67 | ||
| LSP-SVM | Tuncer et al., 2019 | 93.0 | ||
| A-B-C-D-E | Robust CNN | Zhao et al., 2020 | 93.55 | 94.01 |