Automated traffic violation apprehension system using genetic algorithm and artificial neural network-Reference-Cited by-同舟云学术

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Automated traffic violation apprehension system using genetic algorithm and artificial neural network

Published:2016-11 Issue: Volume: Page:
ISSN:
Container-title:2016 IEEE Region 10 Conference (TENCON)
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Author:

Uy Aaron Christian P.,Quiros Ana Riza F.,Bedruz Rhen Anjerome,Abad Alexander,Bandala Argel,Sybingco Edwin,Dadios Elmer P.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7838019/7847944/07848395.pdf?arnumber=7848395

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Traffic Offender Detection System Using Deep Learning Approach;International Journal of Scientific Research in Science and Technology;2023-12-25

2. An Automated Classification of Vehicles and Violation Detection in Special Purpose Lanes;2023 IEEE Region 10 Symposium (TENSYMP);2023-09-06

3. Student Responses and Effectiveness of Android Media as Chemistry Learning Media During the Covid-19 Pandemic;Jurnal Pendidikan Kimia Indonesia;2022-12-17

4. Density Based Fuzzy Logic Control Scheme for a Multi-Stoplight Road Network Implemented on a Simplified Traffic Model;2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM);2022-12-01

5. Automatic detection system of speed violations in a traffic based on deep learning technique;Journal of Intelligent & Fuzzy Systems;2022-09-22

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