Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Amal Ezzouhri"'
Publikováno v:
IEEE Access, Vol 11, Pp 76142-76155 (2023)
Electric vehicles are expected to dominate the vehicle fleet in the near future due to their zero emissions of pollutants, reduced fossil fuel reserves, comfort, and lightness. However, Battery Electric Vehicles (BEVs) suffer from gradual performance
Externí odkaz:
https://doaj.org/article/689c403cf9f746e4a4c8980a5c44dcb9
Publikováno v:
IEEE Access, Vol 10, Pp 45102-45111 (2022)
We propose a system for monitoring the driving maneuver at road intersections using rule-based reasoning and deep learning-based computer vision techniques. Along with detecting and classifying turning movements online, the system also detects violat
Externí odkaz:
https://doaj.org/article/0ef1ff8d824c49d09f769c41e51afcd7
Publikováno v:
IEEE Access, Vol 9, Pp 168080-168092 (2021)
Driver distraction is a major cause of road accidents. Distracting activities while driving include text messaging and talking on the phone. In this paper, we propose a robust driver distraction detection system that extracts the driver’s state fro
Externí odkaz:
https://doaj.org/article/2b2238ea638945a5be7237df01077489
Autor:
Hamza Mediouni, Amal Ezzouhri, Zakaria Charouh, Khadija El Harouri, Soumia El Hani, Mounir Ghogho
Publikováno v:
Energies, Vol 15, Iss 17, p 6490 (2022)
Range anxiety remains one of the main hurdles to the widespread adoption of electric vehicles (EVs). To mitigate this issue, accurate energy consumption prediction is required. In this study, a hybrid approach is proposed toward this objective by tak
Externí odkaz:
https://doaj.org/article/ec026f713f984a3aafcb8d79db248d61
Publikováno v:
Sensors, Vol 22, Iss 3, p 1193 (2022)
There has been significant interest in using Convolutional Neural Networks (CNN) based methods for Automated Vehicular Surveillance (AVS) systems. Although these methods provide high accuracy, they are computationally expensive. On the other hand, Ba
Externí odkaz:
https://doaj.org/article/79bb86181deb4070a71afafdc94648ac
Publikováno v:
2022 IEEE International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::503608f7d4852c94a044bbf4e76ee7e2
https://doi.org/10.1109/cistem55808.2022.10043957
https://doi.org/10.1109/cistem55808.2022.10043957
Publikováno v:
ICAART (2)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8005836b372382c9d7894607570f4832
https://doi.org/10.5220/0010253308450850
https://doi.org/10.5220/0010253308450850
Publikováno v:
Sustainability (2071-1050); Sep2024, Vol. 16 Issue 17, p7642, 14p
Autor:
Mediouni, Hamza1,2 (AUTHOR) hamza_mediouni@um5.ac.ma, Ezzouhri, Amal2,3 (AUTHOR), Charouh, Zakaria2,3 (AUTHOR), El Harouri, Khadija1 (AUTHOR), El Hani, Soumia1 (AUTHOR), Ghogho, Mounir2,4 (AUTHOR)
Publikováno v:
Energies (19961073). Sep2022, Vol. 15 Issue 17, p6490. 17p.
Autor:
Charouh, Zakaria1,2 (AUTHOR) amal.ezzouhri@uir.ac.ma, Ezzouhri, Amal1,2 (AUTHOR) zouhair@emi.ac.ma, Ghogho, Mounir2,3 (AUTHOR), Guennoun, Zouhair1 (AUTHOR)
Publikováno v:
Sensors (14248220). Feb2022, Vol. 22 Issue 3, p1193. 1p.