Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Samir Elmougy"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-13 (2024)
Abstract Nowadays, fingerprints as biometrics are among the most popular means of identity verification for various applications. However, they are susceptible to theft, tampering, or alteration by attackers after storage. Hence, it is critical to gu
Externí odkaz:
https://doaj.org/article/e8ca132ca47349f49d3aeb4473b30faa
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Optimizers are the bottleneck of the training process of any Convolutionolution neural networks (CNN) model. One of the critical steps when work on CNN model is choosing the optimal optimizer to solve a specific problem. Recent challenge in
Externí odkaz:
https://doaj.org/article/b99821eb83c440088218ec49976afb79
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-26 (2024)
Abstract This paper proposes an approach to enhance the differentiation task between benign and malignant Breast Tumors (BT) using histopathology images from the BreakHis dataset. The main stages involve preprocessing, which encompasses image resizin
Externí odkaz:
https://doaj.org/article/646d86d0508d43e1980875f765126e8f
Publikováno v:
Jordanian Journal of Computers and Information Technology, Vol 10, Iss 3, Pp 231-246 (2024)
Genetic algorithms (GAs) are search algorithms based on population genetics and natural selection concepts. Maintaining population variety in GAs is critical for ensuring global exploration and mitigating the risks of premature convergence. Rapid con
Externí odkaz:
https://doaj.org/article/ddbaceeb953a4d8c8f4564fbde8b77de
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract In the healthcare sector, the health status and biological, and physical activity of the patient are monitored among different sensors that collect the required information about these activities using Wireless body area network (WBAN) archi
Externí odkaz:
https://doaj.org/article/eb04861a8d6349e18283c441fa495629
Publikováno v:
IEEE Access, Vol 12, Pp 134902-134925 (2024)
Nowadays, we face improvements in the field of the Internet of Things (IoT). The primary focus of the Internet of Medical Things (IoMT) is to gather health data from patients and provide healthcare services accordingly. Hence, researchers have been f
Externí odkaz:
https://doaj.org/article/0ea9498088d74da79930c08b98459635
Autor:
Abdelrahman Gamal, Ahmed Sharafeldeen, Eman Alnaghy, Reham Alghandour, Norah Saleh Alghamdi, Khadiga M. Ali, Sameh Shamaa, Amal Aboueleneen, Ahmed Elsaid Tolba, Samir Elmougy, Mohammed Ghazal, Sohail Contractor, Ayman El-Baz
Publikováno v:
IEEE Access, Vol 12, Pp 104983-105003 (2024)
The primary objective of this paper is to develop a machine learning-based approach capable of predicting the treatment response of neoadjuvant chemotherapy (NAC) to enhance breast cancer treatment management. The proposed system aims to predict NAC
Externí odkaz:
https://doaj.org/article/d5031a4b70984dc1a73834052d43a623
Autor:
Ibrahim Shawky Farahat, Ahmed Sharafeldeen, Mohammed Ghazal, Norah Saleh Alghamdi, Ali Mahmoud, James Connelly, Eric van Bogaert, Huma Zia, Tania Tahtouh, Waleed Aladrousy, Ahmed Elsaid Tolba, Samir Elmougy, Ayman El-Baz
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The proposed AI-based diagnostic system aims to predict the respiratory support required for COVID-19 patients by analyzing the correlation between COVID-19 lesions and the level of respiratory support provided to the patients. Computed tomo
Externí odkaz:
https://doaj.org/article/557e0f92acad4ebca2fb9d318705a70d
Publikováno v:
Jordanian Journal of Computers and Information Technology, Vol 9, Iss 2, Pp 137-153 (2023)
Bitcoin becomes the focus of scientific research in the modern era. Blockchain is the underlying technology of Bitcoin because of its decentralization, transparency, trust-less, and immutability features. However, blockchain can be considered the cau
Externí odkaz:
https://doaj.org/article/112a68de7e7f4d63a8df8499203892eb
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract There are several methods that have been discovered to improve the performance of Deep Learning (DL). Many of these methods reached the best performance of their models by tuning several parameters such as Transfer Learning, Data augmentatio
Externí odkaz:
https://doaj.org/article/7b3c3b04bd5d465faf9137bb9e9079ed