Table 7.
Comparison of accuracy results with the existing state-of-the-art models.
| Ref. no | Year of publication | DL model used | Accuracy | F1-score |
|---|---|---|---|---|
| Ahmad et al. (2021) | 2021 | MobileNetV3-large | 99.69% | 0.9962 |
| Yao et al. (2024) | 2024 | Generalized Stacking Multi-output CNN (with InceptionV3) | 99.56% | 0.9956 |
| Guo (2023) | 2023 | MobileNetV2 | 99.41% | 0.9941 |
| Vo et al. (2023) | 2023 | Ensemble of EfficientB0 and MobileNetV2 | 99.77% | 0.9979 |
| Hassan et al. (2021) | 2021 | EfficientNetB0 | 99.56% | 0.9961 |
| Proposed work | CNN-SEEIB | 99.79% | 0.9971 |