Spectrum Sensing in Cognitive Radio Using CNN-RNN and Transfer Learning-Reference-Cited by-同舟云学术

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Spectrum Sensing in Cognitive Radio Using CNN-RNN and Transfer Learning

Published:2022 Issue: Volume:10 Page:113482-113492
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Solanki Surendra¹^ORCID,Dehalwar Vasudev¹,Choudhary Jaytrilok¹,Kolhe Mohan Lal²,Ogura Koki³

Affiliation:

1. Department of CSE, Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh, India

2. Department of Engineering Science, University of Agder, Kristiansand, Norway

3. Department of Electrical Engineering, Faculty of Science and Engineering, Kyushu Sangyo University, Fukuoka, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09928262.pdf?arnumber=9928262

Reference40 articles.

1. On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures

2. Going deeper with convolutions;szegedy;arXiv 1409 4842,2014

3. Learning representations by back-propagating errors;rumelhart;Nature,1986

4. Semantic Features with Contextual Knowledge-Based Web Page Categorization Using the GloVe Model and Stacked BiLSTM

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