Cognitive Radio Networks: An AI Enabled Approach-Reference-Cited by-同舟云学术

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Cognitive Radio Networks: An AI Enabled Approach

Published:2024-04-04 Issue: Volume:3 Page:1-6
ISSN:
Container-title:2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)
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Author:

Prema S.¹,Solaimalai Gautam²,Lalithambikai S.³,Priya S. Gayathri⁴,PD Sowmya⁵,Thanikodi Sathish⁶

Affiliation:

1. Mahendra Engineering College,Department of Information Technology,Namakkal,Tamil Nadu,India,637503

2. U.S. Bank,Georgia,United States of America,30041

3. Knowledge Institute of Technology,Department of Information Technology,Salem,Tamil Nadu,India,637504

4. R.M.D. Engineering College,Department of Electronics and Communication Engineering,Tamil Nadu,India,601206

5. REVA University,Department of Computer Science & Applications,Bengaluru,Karnataka,India,560064

6. Saveetha School of Engineering, SIMATS,Department of Mechanical Engineering,Chennai,Tamil Nadu,India,602105

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10568576/10568577/10568748.pdf?arnumber=10568748

Reference15 articles.

1. Cooperative Sensing for Primary Detection in Cognitive Radio

2. SOLID DISPERSION - A NOVEL APPROACH FOR BIOAVAILABILITY ENHANCEMENT OF POORLY WATER-SOLUBLE DRUGS IN SOLID ORAL DOSAGE FORMS

3. Automatic Face Mask Detection Using Deep Learning-Based Mobile-Net Architecture

4. A Cooperative Spectrum Sensing Consensus Scheme in Cognitive Radios

5. Spectrum Sensing Techniques in Cognitive Radio Networks: A Survey

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