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IEEE/ICACT20260241 Slide.19        [Big Slide]	Oral Presentation
	In conclusion, our comprehensive analysis shows that both classification and regression models are highly effective for spectrum sensing. For top accuracy, consider SVM, neural networks, or BGK classifiers. If you need a balance of performance and efficiency, simpler linear models are a strong choice. The best model ultimately depends on your specific system constraints, such as whether you prioritize absolute detection accuracy or computational resources.

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