Zobrazeno 1 - 6 of 6 pro vyhledávání: '"Hosam El-Sofany"'
1
Akademický článek
A proposed technique for predicting heart disease using machine learning algorithms and an explainable AI method
Autor: Hosam El-Sofany, Belgacem Bouallegue, Yasser M. Abd El-Latif
Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract One of the critical issues in medical data analysis is accurately predicting a patient’s risk of heart disease, which is vital for early intervention and reducing mortality rates. Early detection allows for timely treatment and continuous
Externí odkaz: https://doaj.org/article/96c96575899c4fb1997490031b577df1
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2
Akademický článek
A proposed secure framework for protecting cloud-based educational systems from hacking
Autor: Hosam El-Sofany, Samir A. El-Seoud, Omar H. Karam, Belgacem Bouallegue, Abdelmoty M. Ahmed
Publikováno v: Egyptian Informatics Journal, Vol 27, Iss , Pp 100505- (2024)
Educational institutions and users involved in the whole learning process frequently have concerns about the storage and processing of sensitive data and essential apps in the cloud. Security and privacy issues have emerged as a major challenge, limi
Externí odkaz: https://doaj.org/article/de2071afd0824e8fae672f505d9ed5d6
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3
Akademický článek
Using machine learning algorithms to enhance IoT system security
Autor: Hosam El-Sofany, Samir A. El-Seoud, Omar H. Karam, Belgacem Bouallegue
Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract The term “Internet of Things” (IoT) refers to a system of networked computing devices that may work and communicate with one another without direct human intervention. It is one of the most exciting areas of computing nowadays, with its
Externí odkaz: https://doaj.org/article/50992f5461cc425baadff7083c601d1b
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4
Akademický článek
A proposed biometric authentication hybrid approach using iris recognition for improving cloud security
Autor: Hosam El-Sofany, Belgacem Bouallegue, Yasser M. Abd El-Latif
Publikováno v: Heliyon, Vol 10, Iss 16, Pp e36390- (2024)
Biometric systems have gained attention as a more secure alternative to traditional authentication methods. However, these systems are not without their technical limitations. This paper presents a hybrid approach that combines edge detection and seg
Externí odkaz: https://doaj.org/article/5325ca7985c042da98bf59e9f63b1f56
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