Causal Factors Quantification of Traffic Accidents Based on Mutual Information-Reference-Cited by-同舟云学术

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Causal Factors Quantification of Traffic Accidents Based on Mutual Information

Published:2024-01-29 Issue: Volume: Page:126-129
ISSN:
Container-title:2024 Conference of Young Researchers in Electrical and Electronic Engineering (ElCon)
language:
Short-container-title:

Author:

Badounmar ¹,Min Nandar Win²,Aung Htoo Naing³

Affiliation:

1. University of Computer Studies,Faculty of Computer Science,Mandalay,Myanmar

2. University of Technology, (YatanarponCyber City),Department of Computer Science,Mandalay,Myanmar

3. St. Petersburg State Marine Technical University St,Department of Marine Internal Combustion Engines and Diesel Installations,Petersburg,Russia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10467195/10468070/10468083.pdf?arnumber=10468083

Reference8 articles.

1. A study on the probabilistic quantification of heavy-truck crash risk under the influence of multi-factors

2. Comprehensive factor analysis and risk quantification study of fall from height accidents

3. Crash severity analysis through nonpaametric machine learning methods;Agarwal;Journal of Eastern Asia Society for Transportation Studies,2019

4. Impact of feature scaling on machine learning models for the diagnosis of diabetes

5. Feature Selection Method Based on Maximum Conditional and Joint Mutual Information

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