As shown in Table 12 , a clear trend emerges: introducing low to moderate levels of Gaussian noise ( σ = 0.02 to 0.04 ) consistently improves or maintains classification performance, whereas excessive noise ( σ = 0.5 and above) severely degrades accuracy.
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