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Case study of TV spectrum sensing model based on machine learning techniques

Spectrum sensing is an essential component in cognitive radios (CR). Machine learning (ML) algorithms are powerful techniques for designing a promising spectrum sensing model. In this work, the supervised ML algorithms, support vector machine (SVM), k-nearest neighbor (kNN), and decision tree (DT) a...

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Principais autores: Abdalaziz Mohammad, Faroq Awin, Esam Abdel-Raheem
פורמט: Artigo
שפה:Inglês
יצא לאור: Elsevier 2022-03-01
סדרה:Ain Shams Engineering Journal
נושאים:
Spectrum sensing
Cognitive radio
Machine learning
SVM
kNN
TD
גישה מקוונת:http://www.sciencedirect.com/science/article/pii/S2090447921002914
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