Zobrazeno 1 - 10
of 173
pro vyhledávání: '"Amar Ramdane Cherif"'
Publikováno v:
Computers, Vol 12, Iss 5, p 90 (2023)
Investors at well-known firms are increasingly becoming interested in stock forecasting as they seek more effective methods to predict market behavior using behavioral finance tools. Accordingly, studies aimed at predicting stock performance are gain
Externí odkaz:
https://doaj.org/article/ceb5b2a5c52d468fa9619455edf4651c
Publikováno v:
IEEE Access, Vol 12, Pp 146866-146900 (2024)
Autonomous Driving (AD) has evolved significantly since its beginnings in the 1980s, with continuous advancements driven by both industry and academia. Traditional AD systems break down the driving task into smaller modules—such as perception, loca
Externí odkaz:
https://doaj.org/article/8a5335e7d717442da3440f2c0dadabba
Autor:
Sylia Mekhmoukh Taleb, Yassine Meraihi, Asma Benmessaoud Gabis, Seyedali Mirjalili, Atef Zaguia, Amar Ramdane-Cherif
Publikováno v:
IEEE Access, Vol 10, Pp 52744-52759 (2022)
Wireless Mesh Networks (WMNs) have rapid real developments during the last decade due to their simple implementation at low cost, easy network maintenance, and reliable service coverage. Despite these properties, the nodes placement of such networks
Externí odkaz:
https://doaj.org/article/2a9607fee48a48f4bba0b30dc374e598
Publikováno v:
IEEE Access, Vol 9, Pp 50001-50024 (2021)
Grasshopper Optimization Algorithm (GOA) is a recent swarm intelligence algorithm inspired by the foraging and swarming behavior of grasshoppers in nature. The GOA algorithm has been successfully applied to solve various optimization problems in seve
Externí odkaz:
https://doaj.org/article/3750d162cc9f4d3f8b9599c28cc27303
Autor:
Amylia Ait Saadi, Assia Soukane, Yassine Meraihi, Asma Benmessaoud Gabis, Amar Ramdane-Cherif
Publikováno v:
IEEE Access. 11:24315-24342
Publikováno v:
Journal of Sensor and Actuator Networks, Vol 10, Iss 4, p 66 (2021)
An autonomous vehicle relies on sensors in order to perceive its surroundings. However, there are multiple causes that would hinder a sensor’s proper functioning, such as bad weather or lighting conditions. Studies have shown that rainfall and fog
Externí odkaz:
https://doaj.org/article/096fcae492394ffcb6edcba637a34fc8
Publikováno v:
Computer Communications. 191:500-509
Autor:
Amylia Ait Saadi, Assia Soukane, Yassine Meraihi, Asma Benmessaoud Gabis, Seyedali Mirjalili, Amar Ramdane-Cherif
Publikováno v:
Archives of Computational Methods in Engineering. 29:4233-4284
Autor:
Sylia Mekhmoukh Taleb, Yassine Meraihi, Asma Benmessaoud Gabis, Seyedali Mirjalili, Amar Ramdane-Cherif
Publikováno v:
Neural Computing and Applications. 34:5283-5319
Autor:
Sylia Mekhmoukh Taleb, Yassine Meraihi, Seyedali Mirjalili, Dalila Acheli, Amar Ramdane-Cherif, Asma Benmessaoud Gabis
Publikováno v:
Mobile Networks and Applications.