Study of Supervised Learning Algorithms for the Prediction of Road Accident Severity in Senegal-Reference-Cited by-同舟云学术

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Study of Supervised Learning Algorithms for the Prediction of Road Accident Severity in Senegal

Published:2022-06-24 Issue: Volume: Page:
ISSN:
Container-title:2022 7th International Conference on Computational Intelligence and Applications (ICCIA)
language:
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Author:

Dia Yoro¹,Faty Lamine²,Sarr Moussa Dethie¹,Sall Ousmane³,Bousso Mamadou¹,Landu Tony Tona¹

Affiliation:

1. UFR-SET, Iba Der Thiam University of Thies,Thies,Senegal

2. Assane SECK University of Ziguinchor,Computer Science and Engineering Laboratory for Innovation,Ziguinchor,Senegal

3. Digital Unit - Science Technology and Digital Pole, Virtual University of Senegal,Dakar,Senegal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9828375/9828407/09828434.pdf?arnumber=9828434

Reference16 articles.

1. Senegalese Road Crash Data Analysis Based On Clustering And Association Rule Mining

2. Prediction of fatal traffic accidents using one-class SVMs: a case study in Eskisehir, Turkey

3. Naive bayesian classifier;leung;Poly-tech Univ Dep Comput Sci Risk Eng,2007

4. Applied Logistic Regression Analysis

Cited by 3 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. Enhancing road safety with machine learning: Current advances and future directions in accident prediction using non-visual data;Engineering Applications of Artificial Intelligence;2024-11

2. Advancing Autonomous Vehicle Safety: Machine Learning to Predict Sensor-Related Accident Severity;IEEE Access;2024

3. A Hybrid Model for Predicting Road Accident Severity in Senegal;Advances in Intelligent Systems and Computing;2023

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