Table 2
Results of the proposed 3D-CNN for the classification and localisation of perturbation type and source location (i, j, k) with the corruption of input signals at SNR = 3 and SNR = 1.
| Noise | Train/Valid/Test (%) | Classification | Localisation | ||
|---|---|---|---|---|---|
|
|
|
||||
| Accuracy (%) | F1-score | MAE | MSE | ||
| No noise | 70/15/15 | 99.89 ± 0.010 | 0.9311 ± 0.001 | 0.2902 ± 0.011 | 0.3072 ± 0.014 |
| SNR = 3 | 70/15/15 | 99.85 ± 0.006 | 0.9231 ± 0.001 | 0.3456 ± 0.016 | 0.4905 ± 0.011 |
| SNR = 1 | 70/15/15 | 99.81 ± 0.036 | 0.9225 ± 0.002 | 0.3709 ± 0.020 | 0.5185 ± 0.017 |
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