Research Article
A Model for Qur’anic Sign Language Recognition Based on Deep Learning Algorithms
Table 7
QSLRS-CNN test data accuracy after RMO and SMOTE.
| Resampling technique | No. of epochs | Training acc. (%) | Testing acc. (%) | Training time (min) |
| RMO | 100 | 98.37 | 97.36 | 25. 1 | SMOTE | 100 | 98.31 | 97.67 | 30.56 |
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