Table 5. Summarises our model’s performance relative to recent literature.
| Study year | Classifier | Accuracy (%) |
|---|---|---|
| 2023 | Hybrid RNN-LSTM | 94.21 |
| 2023 | Ensemble Deep-Learning Model | 96.54 |
| 2024 | Squeeze-and-Excitation ResNet | 97.35 |
| 2025 | Residual Attention BiLSTM | 97.7 |
| 2025 | X-TLRABiLSTM (Proposed) | 98.2 |