UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 10 Issue 5
May-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2305298


Registration ID:
514995

Page Number

c667-c673

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Title

CNN BASED APPROACH FOR TRAFFIC SIGN .RECOGNITION SYSTEM

Abstract

CNN BASED APPROACH FOR TRAFFIC SIGN .RECOGNITION SYSTEM

Key Words

CNN BASED APPROACH FOR TRAFFIC SIGN .RECOGNITION SYSTEM

Cite This Article

"CNN BASED APPROACH FOR TRAFFIC SIGN .RECOGNITION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.c667-c673, May-2023, Available :http://www.jetir.org/papers/JETIR2305298.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"CNN BASED APPROACH FOR TRAFFIC SIGN .RECOGNITION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppc667-c673, May-2023, Available at : http://www.jetir.org/papers/JETIR2305298.pdf

Publication Details

Published Paper ID: JETIR2305298
Registration ID: 514995
Published In: Volume 10 | Issue 5 | Year May-2023
DOI (Digital Object Identifier):
Page No: c667-c673
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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