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Driver identification in advanced transportation systems using osprey and salp swarm optimized random forest model

Abstract Enhancement of security, personalization, and safety in advanced transportation systems depends on driver identification. In this context, this work suggests a new method to find drivers by means of a Random Forest model optimized using the osprey optimization algorithm (OOA) for feature se...

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Principais autores: Akshat Gaurav, Brij B. Gupta, Razaz Waheeb Attar, Ahmed Alhomoud, Varsha Arya, Kwok Tai Chui
Formato: Artigo
Idioma:Inglês
Publicado: Nature Portfolio 2025-01-01
Series:Scientific Reports
Acceso en liña:https://doi.org/10.1038/s41598-024-84710-8
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