Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Said Mazer"'
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102659- (2024)
Smart healthcare is one of the promising areas of the Internet of Things (IoT), particularly in the case of the Covid-19 pandemic. Real-time patient monitoring and remote diagnostics facilitate better medical services to preserve human lives using In
Externí odkaz:
https://doaj.org/article/a3282a92784347d0ae12fe21c547ec9b
Autor:
Salah-Eddine Didi, Imane Halkhams, Abdelhafid Es-saqy, Mohammed Fattah, Said Mazer, Moulhime El Bekkali
Publikováno v:
Results in Engineering, Vol 22, Iss , Pp 102319- (2024)
In the medical field, efforts are currently focused on the development of devices implanted in the human body, to build a high-performance infrastructure and a working tool adapted to patients' needs. One such implanted device is the pacemaker, which
Externí odkaz:
https://doaj.org/article/99335ab41889451bb6dfd16486be85eb
Publikováno v:
IEEE Access, Vol 12, Pp 41517-41530 (2024)
The dynamic and heterogeneous nature of fog computing environments presents significant challenges for efficient resource management, especially in the context of workflow optimization. To address this problem, we propose a novel particle swarm optim
Externí odkaz:
https://doaj.org/article/63c12d42fa664fe1b04170af741f0eb6
Publikováno v:
Intelligent and Converged Networks, Vol 4, Iss 4, Pp 273-279 (2023)
Evolutionary algorithms have gained significant attention from researchers as effective solutions for various optimization problems. Genetic Algorithm (GA) is widely popular due to its logical approach, broad applicability, and ability to tackle comp
Externí odkaz:
https://doaj.org/article/60d113da44f24663bafede190761f036
Autor:
Macoumba Fall, Younes Balboul, Mohammed Fattah, Said Mazer, Moulhime El Bekkali, Ahmed D. Kora
Publikováno v:
IEEE Access, Vol 11, Pp 50794-50804 (2023)
The 5th generation of mobile communications, currently being rolled out, aims to improve network performance and efficiency over the older generations. With mmWaves, densified cell deployment is necessary for 5G networks, increasing capacity and impr
Externí odkaz:
https://doaj.org/article/251f7e4254a5440aadc383fae6b13df9
Autor:
Abdelhafid ES-SAQY, maryam abata, mohammed Fattah, said Mazer, Mahmoud Mehdi, Moulhime El Bekkali, Cathrine Algani
Publikováno v:
ASM Science Journal, Vol 17, Pp 1-8 (2022)
We develop in this paper, a high conversion gain self-oscillating mixer (SOM) for 5G mm-wave applications using commercial 0.15µm GaAs PHEMT from UMS foundry. The up-conversion SOM transpose the IF signal from 2 GHz to 26 GHz LSB (lower sideband) si
Externí odkaz:
https://doaj.org/article/478912caa07c4a3cb92d611608b62743
Autor:
Asmae Mamane, Mohammed Fattah, Mohammed El Ghazi, Moulhime El Bekkali, Younes Balboul, Said Mazer
Publikováno v:
IEEE Access, Vol 10, Pp 51643-51661 (2022)
Over the years, several research groups have been developing effective and efficient scheduling algorithms to enhance the quality of service of mobile communication networks. The arrival of the fifth generation of mobile networks (5G) has demonstrate
Externí odkaz:
https://doaj.org/article/d3c7aa9109db47ca89ef25417fca5947
Autor:
Cathrine Algani, Moulhime El Bekkali, Mahmoud Mehdi, Said Mazer, Mohammed Fattah, Maryam Abata, Abdelhafid ES-SAQY
Publikováno v:
ASM Science Journal. 17:1-8
We develop in this paper, a high conversion gain self-oscillating mixer (SOM) for 5G mm-wave applications using commercial 0.15µm GaAs PHEMT from UMS foundry. The up-conversion SOM transpose the IF signal from 2 GHz to 26 GHz LSB (lower sideband) si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a41df92e19ed4e9621bec56051caaca0
https://doi.org/10.32802/asmscj.2022.948
https://doi.org/10.32802/asmscj.2022.948
Autor:
Salah-Eddine Didi, Imane Halkhams, Mohammed Fattah, Younes Balboul, Said Mazer, Moulhime El Bekkali
Publikováno v:
Artificial Intelligence and Smart Environment ISBN: 9783031262531
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e901e8d03aeabc2f86818a0e6839c080
https://doi.org/10.1007/978-3-031-26254-8_107
https://doi.org/10.1007/978-3-031-26254-8_107
Autor:
Macoumba Fall, Younes Balboul, Mohammed Fattah, Said Mazer, Moulhime El Bekkali, Ahmed Ahmed Dooguy Kora
Publikováno v:
Artificial Intelligence and Smart Environment ISBN: 9783031262531
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8981b85737b4080b5b482cd38cd9dc30
https://doi.org/10.1007/978-3-031-26254-8_54
https://doi.org/10.1007/978-3-031-26254-8_54