Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Mohamed, Senouci"'
Publikováno v:
Journal of Information Technology Research. 15:1-20
Set intersection algorithms between sorted lists are important in triangles counting, community detection in graph analysis and in search engines where the intersection is computed between queries and inverted indexes. Many researches use GPU techniq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b181dca63af283a4f3813b3958b4327
https://doi.org/10.4018/jitr.298325
https://doi.org/10.4018/jitr.298325
Publikováno v:
Thermal Science. 26:3741-3750
In order to respond to the increased demand for clean energy without harming the atmosphere through polluting emissions, Energy production from the hydrogen combustion become largely used. This work presents a numerical study of the injection conditi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e82c877bcd305683923ff7a1175bae6a
https://doi.org/10.2298/tsci210530314b
https://doi.org/10.2298/tsci210530314b
Autor:
Chakib Nehnouh, Mohamed Senouci
Publikováno v:
Journal of High Speed Networks. 25:311-329
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5cffcae22a4e3e67eed5ae5d3258682
https://doi.org/10.3233/jhs-190618
https://doi.org/10.3233/jhs-190618
Autor:
Mohamed Senouci, Chakib Nehnouh
Publikováno v:
International Journal of Embedded and Real-Time Communication Systems. 10:68-85
To provide correct data transmission and to handle the communication requirements, the routing algorithm should find a new path to steer packets from the source to the destination in a faulty network. Many solutions have been proposed to overcome fau
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e63b4fee10dc33c07c90ecd6c71f450e
https://doi.org/10.4018/ijertcs.2019070105
https://doi.org/10.4018/ijertcs.2019070105
Autor:
Bereksi, Mohamed Senouci1 sbereksi_mohamed@yahoo.fr, Hassaïne, Hafida2, Bekhechi, Chahrazed1, Abdelouahid, Djamel Eddine2
Publikováno v:
Pharmacognosy Journal. May/JUN2018, Vol. 10 Issue 3, p507-512. 6p.
Autor:
Mohamed Senouci, Chakib Nehnouh
Publikováno v:
International Journal of Grid and Distributed Computing. 11:33-50
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a4f6af53152156ffe26d63b6f3ec131
https://doi.org/10.14257/ijgdc.2018.11.9.04
https://doi.org/10.14257/ijgdc.2018.11.9.04
Publikováno v:
IEEE Sensors Journal. 18:5122-5132
Obstacle detection is an essential element for the development of intelligent transportation systems so that accidents can be avoided. In this paper, we propose a stereovision-based method for detecting obstacles in urban environment. The proposed me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d9c03ca52a20a776a6a3a4e33bb33ed
https://doi.org/10.1109/jsen.2018.2831082
https://doi.org/10.1109/jsen.2018.2831082
Publikováno v:
Pharmacognosy Journal. 10:507-512
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54f16f97316171d97a5144905e02f32f
https://doi.org/10.5530/pj.2018.3.83
https://doi.org/10.5530/pj.2018.3.83
Publikováno v:
Robotics and Autonomous Systems. 100:287-301
A vision-based obstacle detection system is a key enabler for the development of autonomous robots and vehicles and intelligent transportation systems. This paper addresses the problem of urban scene monitoring and tracking of obstacles based on unsu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dee59e1c8951493d191516dd3d24d0af
https://doi.org/10.1016/j.robot.2017.11.014
https://doi.org/10.1016/j.robot.2017.11.014
Autor:
Metzli Ramirez-Martinez, Philippe Brunet, Wided Hammedi, Mohamed Ayoub Messous, Sidi-Mohamed Senouci
Publikováno v:
2019 IEEE Global Communications Conference (GLOBECOM)
2019 IEEE Global Communications Conference (GLOBECOM), Dec 2019, Waikoloa, United States
GLOBECOM
2019 IEEE Global Communications Conference (GLOBECOM), Dec 2019, Waikoloa, United States
GLOBECOM
International audience; Semi-autonomous and fully-autonomous systems must have knowledge about the objects in their environment to ensure a safe navigation. Modern approaches implement deep learning techniques to train a neural network for object det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85272b7f38bc1cfa6252110315ea6110
https://hal.archives-ouvertes.fr/hal-03023090
https://hal.archives-ouvertes.fr/hal-03023090
