Classification of traffic accidents’ factors using TrafficRiskClassifier
The TrafficRiskClassifier model introduced in this study adopts an innovative approach that incorporates migration learning, image classification, and self-supervised learning, aiming to significantly improve the accuracy and efficiency of traffic accident risk analysis. Compared with traditional tr...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/113360/1/113360.pdf http://psasir.upm.edu.my/id/eprint/113360/ https://linkinghub.elsevier.com/retrieve/pii/S2046043024000492 |
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