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IEEE/ICACT20260241 Slide.11
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We test two main approaches. The first is classification models, like SVM, DT, and NN, which directly predict whether a PU signal is present or absent. The second is regression models, like SVM regression, Gaussian process regression, and LR, which output a continuous value that we then convert into a decision using a simple threshold. This setup allows us to evaluate which strategy works best for spectrum sensing in different scenarios. | |
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