iScene: An interpretable framework with hierarchical edge services for scene risk identification in 6G internet of vehicles
Abstract Scene risk identification is essential for the traffic safety of Internet of Vehicles. However, the performance of existing risk identification approaches is heavily limited by the imbalanced historical data and the poor model interpretability. Meanwhile, the large processing delay and the...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Wiley
2024-12-01
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| Serie: | IET Communications |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1049/cmu2.12704 |
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