Zobrazeno 1 - 10
of 118
pro vyhledávání: '"Qassim Nasir"'
Autor:
Qassim Nasir, Manar Abu Talib, Muhammad Arbab Arshad, Tracy Ishak, Romaissa Berrim, Basma Alsaid, Youssef Badway, Omnia Abu Waraga
Publikováno v:
Energy Informatics, Vol 7, Iss 1, Pp 1-26 (2024)
Abstract False Data Injection Attacks (FDIA) pose a significant threat to the stability of smart grids. Traditional Bad Data Detection (BDD) algorithms, deployed to remove low-quality data, can easily be bypassed by these attacks which require minima
Externí odkaz:
https://doaj.org/article/f5b40a8d40f94d06886bdbeec24e440a
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-19 (2024)
Abstract With the outbreak of COVID-19 in 2020, countries worldwide faced significant concerns and challenges. Various studies have emerged utilizing Artificial Intelligence (AI) and Data Science techniques for disease detection. Although COVID-19 ca
Externí odkaz:
https://doaj.org/article/3129b1150588493889cdf5860c881caf
Autor:
Meriem Aoudia, Mustafa B. M. Alaraj, Omnia Abu Waraga, Takua Mokhamed, Manar Abu Talib, Maamar Bettayeb, Qassim Nasir, Chaouki Ghenai
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
With the rise of the 3Ds—decarbonization, decentralization, and digitalization—the number of electric vehicles is projected to increase, necessitating the implementation of modern technologies to avoid unnecessary energy wastage. Numerous studies
Externí odkaz:
https://doaj.org/article/4b9edc3cf14348a393087de3dc4520d3
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 3, Pp 102015- (2024)
Artificial Intelligence (AI) approaches have been increasingly used in financial markets as technology advances. In this research paper, we conduct a Systematic Literature Review (SLR) that studies financial trading approaches through AI techniques.
Externí odkaz:
https://doaj.org/article/b5f524b78c824b10a2078417850d7f7f
Publikováno v:
مجلة الآداب, Iss 145 (2023)
تهدف الدراسة إلى التعرف على أهمية أنظمة الذكاء الاصطناعي في تحليل الجرائم وانماطها، والمتمثلة في التعرف على تقنيات الذكاء الاصطناعي الم
Externí odkaz:
https://doaj.org/article/d24977b6584249a08b79f7a7697ea66c
Publikováno v:
Diagnostics, Vol 13, Iss 19, p 3071 (2023)
Despite the declining COVID-19 cases, global healthcare systems still face significant challenges due to ongoing infections, especially among fully vaccinated individuals, including adolescents and young adults (AYA). To tackle this issue, cost-effec
Externí odkaz:
https://doaj.org/article/459f5f13fbe548c68744570cacf4116c
Publikováno v:
IEEE Access, Vol 9, Pp 20717-20735 (2021)
The popularity and usage of Cloud computing is increasing rapidly. Several companies are investing in this field either for their own use or to provide it as a service for others. One of the results of Cloud development is the emergence of various se
Externí odkaz:
https://doaj.org/article/8d11e546e05b4df5b861c22bbffb9c56
Publikováno v:
IEEE Access, Vol 9, Pp 78658-78700 (2021)
Anomaly detection has been used for decades to identify and extract anomalous components from data. Many techniques have been used to detect anomalies. One of the increasingly significant techniques is Machine Learning (ML), which plays an important
Externí odkaz:
https://doaj.org/article/1a6db49b0bc745df82f8ab27abc9f800
Autor:
Fatima Dakalbab, Manar Abu Talib, Omnia Abu Waraga, Ali Bou Nassif, Sohail Abbas, Qassim Nasir
Publikováno v:
Social Sciences and Humanities Open, Vol 6, Iss 1, Pp 100342- (2022)
The security of a community is its topmost priority; hence, governments must take proper actions to reduce the crime rate. Consequently, the application of artificial intelligence (AI) in crime prediction is a significant and well-researched area. Th
Externí odkaz:
https://doaj.org/article/1df39af010e74594a7630f36a6960d03
Publikováno v:
ICT Express, Vol 5, Iss 1, Pp 31-36 (2019)
This paper delivers an accurate approximation for adaptive threshold and optimal frame detection algorithms based on the robust multi-taper method aiming at an efficient spectrum sensing in cognitive radio systems. An appropriate adaptive thresholdin
Externí odkaz:
https://doaj.org/article/5178a832838d43d3a1495336cc5fb369