Automatic Spectrum Sensing Techniques Using Support Vector Machine In Cognitive Radio Network-Reference-Cited by-同舟云学术

Automatic Spectrum Sensing Techniques Using Support Vector Machine In Cognitive Radio Network

Published:2022-04-21 Issue: Volume: Page:
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Container-title:2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)
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Author:

Arkwazee Mustafa¹,Ilyas Muhammad²,Dawood Jasim Ammar³

Affiliation:

1. Atinbas University,Department Electrical and Computer Engineering,Istanbul,Turkey

2. Atinbas University,Department Electrical and Electronics Engineering,Istanbul,Turkey

3. Al-Nahrain University,College of Information Engineering,Department of System Engineering,Baghdad,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9807685/9807649/09807922.pdf?arnumber=9807922

Reference30 articles.

1. Evaluation of the confusion matrix method in the validation of an automated system for measuring feeding behaviour of cattle

2. Cognitive Radio RF: Overview and Challenges

3. What is a Spectrum Hole and What Does it Take to Recognize One?

4. Dynamic Spectrum Sensing in Cognitive Radio Networks using ML Model

5. SSVM: a simple SVM algorithm

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