Table 4.
Summary of properties for the proposed CNN model.
| Layers | Type | No. of Kernels | Kernel Size | Parameters |
|---|---|---|---|---|
| 0–-1 | Conv1D | 256 | 3 | Activation = ReLU, Strides = 1 |
| 1–2 | BatchNormalization | – | – | – |
| 2–3 | Conv1D | 128 | 3 | Activation = ReLU, Strides = 1 |
| 3–4 | BatchNormalization | – | – | - |
| 4–5 | Conv1D | 64 | 3 | Activation = ReLU, Strides = 1 |
| 5–6 | BatchNormalization | – | – | – |
| 6–7 | Conv1D | 32 | 3 | Activation = ReLU, Strides = 1 |
| 7–8 | BatchNormalization | – | – | – |
| 8–9 | Dropout | – | – | Rate = 0.2 |
| 9–10 | MaxPooling1D | – | – | Pooling Size = 2 |
| – | Flatten | – | – | – |
| 10–11 | Dense | 8 | – | Activation = ReLU |
| 11–12 | Dense | 1 | – | Activation = Sigmoid |