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A series of comparative experiments reveals that this model excels in various critical metrics, including model accuracy, inference speed, model size, and computational complexity. For a dataset comprising 5,000 samples, the model achieves an impressive accuracy of 0.910, an inference speed of 30.787 ms, a compact model size of 5.216 MB, and a computational complexity of 0.177 GFLOPS. Additionally, the contributions of pivotal components to the model's performance were meticulously assessed through ablation studies. 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