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Paper Abstract and Keywords
Presentation 2021-01-26 10:25
An evaluation of CNN using Deep Residual Learning for Modulation Classification
Teruji Ide (NIT, Kagoshima College), Rozeha A. Rashid, Leon Chin, M A Sarijari, Rubita Sudirman (UTM) SR2020-55
Abstract (in Japanese) (See Japanese page) 
(in English) (Not available yet)
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Reference Info. IEICE Tech. Rep., vol. 120, no. 341, SR2020-55, pp. 45-51, Jan. 2021.
Paper # SR2020-55 
Date of Issue 2021-01-18 (SR) 
ISSN Online edition: ISSN 2432-6380
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reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee SR  
Conference Date 2021-01-25 - 2021-01-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Cognitive Radio, Spectrum Management, Heterogeneous Network, SDN, Machine Learning Application, etc. 
Paper Information
Registration To SR 
Conference Code 2021-01-SR 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An evaluation of CNN using Deep Residual Learning for Modulation Classification 
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1st Author's Name Teruji Ide  
1st Author's Affiliation National Institute of Technology, Kagoshima College (NIT, Kagoshima College)
2nd Author's Name Rozeha A. Rashid  
2nd Author's Affiliation Universiti Teknologi Malaysia (UTM)
3rd Author's Name Leon Chin  
3rd Author's Affiliation Universiti Teknologi Malaysia (UTM)
4th Author's Name M A Sarijari  
4th Author's Affiliation Universiti Teknologi Malaysia (UTM)
5th Author's Name Rubita Sudirman  
5th Author's Affiliation Universiti Teknologi Malaysia (UTM)
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Date Time 2021-01-26 10:25:00 
Presentation Time 25 minutes 
Registration for SR 
Paper # SR2020-55 
Volume (vol) vol.120 
Number (no) no.341 
Page pp.45-51 
#Pages
Date of Issue 2021-01-18 (SR) 


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