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The discussion highlights the effectiveness and reliability of the proposed hybrid fusion framework. Statistical validation using the Wilcoxon signed-rank test confirms that the observed performance improvements over unimodal models are statistically significant and not due to random variation. Beyond accuracy gains, the framework demonstrates practical viability by achieving near real-time detection with an average inference latency of approximately 20 ms. These results indicate that the proposed architecture successfully balances detection performance and computational efficiency, making it suitable for deployment in real-world Android forensic scenarios where both accuracy and responsiveness are critical. |
IEEE/ICACT20260079 Slide.18
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