Traffic Sign Recognition Approach Using Artificial Neural Network and Chi-Squared Feature Selection-Reference-Cited by-同舟云学术

Traffic Sign Recognition Approach Using Artificial Neural Network and Chi-Squared Feature Selection

Published:2022-09-27 Issue: Volume: Page:519-527
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
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Author:

Vashisht Manisha^ORCID,Kumar Brijesh^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-1412-6_45

Reference22 articles.

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2. Chand A, Jayesh S, Bhasi AB (2021) Road traffic accidents: an overview of data sources, analysis techniques and contributing factors. Mater Today Proc

3. Who.int. (2021) Second decade of action for road safety (online). Available at https://www.who.int/teams/social-determinants-of-health/safety-and-mobility/decade-of-action-for-road-safety-2021-2030. Accessed 28 Nov 2021

4. Ma D, Fan H, Li W, Ding X (2020) The state of Mapillary: an exploratory analysis. ISPRS Int J Geo Inf 9(1):10

5. Gopi R, Sathiyamoorthi V, Selvakumar S, Manikandan R, Chatterjee P, Jhanjhi NZ, Luhach AK (2021) Enhanced method of ANN based model for detection of DDoS attacks on multimedia internet of things. Multimedia Tools Appl:1–19

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