Zobrazeno 1 - 10
of 197
pro vyhledávání: '"Atika Rivenq"'
Publikováno v:
IEEE Access, Vol 10, Pp 51487-51500 (2022)
Despite the decisive contribution of intelligent transport systems in road safety, they also open new vulnerabilities to cyber-attacks, particularly vehicle position-linked attacks. For that reason, centralized systems are becoming increasingly vulne
Externí odkaz:
https://doaj.org/article/31fb2288ce87470dbd7d56df17271231
Publikováno v:
World Electric Vehicle Journal, Vol 14, Iss 2, p 40 (2023)
Consumption habits are changing due to the development of new technologies around renewable energy, environmental awareness, and new incentive policies. Smart grids are seen as an effective way to accommodate more renewable energy, achieve better con
Externí odkaz:
https://doaj.org/article/e88e501fb7ed40659b5b046582b7b200
Publikováno v:
Sensors, Vol 22, Iss 22, p 9018 (2022)
This paper presents a novel vehicular environment identification approach based on deep learning. It consists of exploiting the vehicular wireless channel characteristics in the form of Channel State Information (CSI) in the receiver side of a connec
Externí odkaz:
https://doaj.org/article/403ff6cc35b4460485e5d6665c00a70b
Publikováno v:
Sensors, Vol 22, Iss 7, p 2434 (2022)
For self-driving systems or autonomous vehicles (AVs), accurate lane-level localization is a important for performing complex driving maneuvers. Classical GNSS-based methods are usually not accurate enough to have lane-level localization to support t
Externí odkaz:
https://doaj.org/article/62f920d9cfc44a34a6306c2e08cbf5e4
Publikováno v:
Energies, Vol 15, Iss 3, p 692 (2022)
Vehicular ad hoc networks allow vehicles to share their information for the safety and efficiency of traffic purposes. However, information sharing can threaten the driver’s privacy as it includes spatiotemporal information, and the messages are un
Externí odkaz:
https://doaj.org/article/a20fb61cf1724f1cbe731f84f85d01ea
Autor:
Atika Rivenq, Amira Mimouna, Abdelmalik Taleb-Ahmed, Anouar Ben Khalifa, Ihsen Alouani, Najoua Essoukri Ben Amara
Publikováno v:
IEEE Sensors Journal
IEEE Sensors Journal, 2021, 21 (6), pp.8142-8149. ⟨10.1109/JSEN.2021.3050054⟩
IEEE Sensors Journal, 2021, 21 (6), pp.8142-8149. ⟨10.1109/JSEN.2021.3050054⟩
International audience; The development of safe intelligent transportation systems (ITS) has driven extensive research to come up with efficient environment perception techniques with a variety of sensors. In short range settings, Ultra Wide-Band (UW
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a33a386c0752e8c99dc8a2cacfa9f2e
https://doi.org/10.1109/jsen.2021.3050054
https://doi.org/10.1109/jsen.2021.3050054
Publikováno v:
Future Generation Computer Systems
Future Generation Computer Systems, Elsevier, 2020, 113, pp.506-527. ⟨10.1016/j.future.2020.07.025⟩
Future Generation Computer Systems, 2020, 113, pp.506-527. ⟨10.1016/j.future.2020.07.025⟩
Future Generation Computer Systems, Elsevier, 2020, 113, pp.506-527. ⟨10.1016/j.future.2020.07.025⟩
Future Generation Computer Systems, 2020, 113, pp.506-527. ⟨10.1016/j.future.2020.07.025⟩
International audience; Recent advances in machine-learning, especially in deep neural networks have significantly accelerated the development and deployment of transport-oriented intelligent designs with increasingly high efficiency. While these tec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cac58c302992032abf7c31b2b907706
https://doi.org/10.1016/j.future.2020.07.025
https://doi.org/10.1016/j.future.2020.07.025
Autor:
Safaa El Morabit, Atika Rivenq
Publikováno v:
2022 11th International Symposium on Signal, Image, Video and Communications (ISIVC)
2022 11th International Symposium on Signal, Image, Video and Communications (ISIVC), May 2022, El Jadida, Morocco. pp.1-5, ⟨10.1109/ISIVC54825.2022.9800746⟩
2022 11th International Symposium on Signal, Image, Video and Communications (ISIVC), May 2022, El Jadida, Morocco. pp.1-5, ⟨10.1109/ISIVC54825.2022.9800746⟩
International audience; Pain assessment is a challenging problem in the field of emotion recognition. Pain represents a complex emotion difficult to detect or to estimate its intensity. This is what makes automatic pain assessment playing an importan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2f0b3b844aa3c847a3c35b47283d616
https://hal.science/hal-03706929/file/ElMorabit2022_ISIVC.pdf
https://hal.science/hal-03706929/file/ElMorabit2022_ISIVC.pdf
Publikováno v:
2022 11th International Symposium on Signal, Image, Video and Communications (ISIVC)
2022 11th International Symposium on Signal, Image, Video and Communications (ISIVC), May 2022, El Jadida, Morocco. pp.1-4, ⟨10.1109/ISIVC54825.2022.9800716⟩
2022 11th International Symposium on Signal, Image, Video and Communications (ISIVC), May 2022, El Jadida, Morocco. pp.1-4, ⟨10.1109/ISIVC54825.2022.9800716⟩
International audience; Electric vehicles (EVs) are one of the encouraging solutions to improve energy efficiency and reduce carbon emissions in the transportation sector. Today, electric vehicles have experienced massive growth that has brought mult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1471f30b1fbe558c4c5eaa97759678a
https://doi.org/10.1109/isivc54825.2022.9800716
https://doi.org/10.1109/isivc54825.2022.9800716
Autor:
Arnav Vaibhav Malawade, Soheyb Ribouh, Mohammad Abdullah Al Faruque, Kelvin Phan, Yassin Elhillali, Atika Rivenq
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Intelligent Transportation Systems, IEEE, 2021, 22 (12), pp.7496-7507. ⟨10.1109/TITS.2020.3003577⟩
IEEE Transactions on Intelligent Transportation Systems, 2021, 22 (12), pp.7496-7507. ⟨10.1109/TITS.2020.3003577⟩
IEEE Transactions on Intelligent Transportation Systems, IEEE, 2021, 22 (12), pp.7496-7507. ⟨10.1109/TITS.2020.3003577⟩
IEEE Transactions on Intelligent Transportation Systems, 2021, 22 (12), pp.7496-7507. ⟨10.1109/TITS.2020.3003577⟩
International audience; Due to the sensitivity of the information exchanged in Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) communication, generating secret keys is critical to secure these communications. As nature is open access, di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::134b3e0c0ea13c2dd947655f349ff68b
https://hal.archives-ouvertes.fr/hal-03509899
https://hal.archives-ouvertes.fr/hal-03509899