HIGHLIGHTS
- who: Espino-Salinas et al. from the Unidad Acadu00e9mica Elu00e9ctrica, Universidad Autu00f3noma Zacatecas, Jardu00edn Juarez, Centro, Zacatecas, Mexico have published the research work: Driver Identification Using Statistical Features of Motor Activity and Genetic Algorithms, in the Journal: Sensors 2023, 23, 784. of 10/01/2023
- what: The authors propose a novel methodology for objective driver identification with an intelligent feature selection in simulated environments with GA, avoiding noise in the data generated by different situations that can occur in real environments. Mekki et_al introduced a driver identification model based on collected data from intelligent mobile . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.