Analysis of spectrum occupancy using machine learning algorithms
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![Fig. 5. Selection of optimal threshold (γ) and optimal splitting range ([Uoc, Loc]) for determining the classification criteria of](https://thumb-us.123doks.com/thumbv2/123dok_us/9464748.452970/24.595.76.573.203.604/selection-optimal-threshold-optimal-splitting-determining-classication-criteria.webp)
![Fig. 7. (a) Performance comparison of ML algorithms: SVM, DT, NBC, HMM, ’SVM+FFA’ and statistical model [8] using](https://thumb-us.123doks.com/thumbv2/123dok_us/9464748.452970/26.595.164.450.145.675/fig-performance-comparison-algorithms-svm-statistical-model-using.webp)
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