Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Sarah A. Alzakari"'
Autor:
Sarah A. Alzakari, Mashael Maashi, Saad Alahmari, Munya A. Arasi, Abeer A. K. Alharbi, Ahmed Sayed
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Laryngeal cancer exhibits a notable global health burden, with later-stage detection contributing to a low mortality rate. Laryngeal cancer diagnosis on throat region images is a pivotal application of computer vision (CV) and medical image
Externí odkaz:
https://doaj.org/article/4d3d2853dec14b0fa53d4660a687ea46
Autor:
Sarah A. Alzakari, Amir Abdel Menaem, Nadir Omer, Amr Abozeid, Loay F. Hussein, Islam Abdalla Mohamed Abass, Ayadi Rami, Ahmed Elhadad
Publikováno v:
Alexandria Engineering Journal, Vol 105, Iss , Pp 280-291 (2024)
The advancement of medical technology has brought about a significant transformation in remote healthcare monitoring, which is crucial for providing customized care and ongoing observation. This is especially important when it comes to controlling lo
Externí odkaz:
https://doaj.org/article/1c79ff59193e47c1955f9bc3a8db00df
Publikováno v:
AIMS Mathematics, Vol 9, Iss 5, Pp 13410-13438 (2024)
In this study, we present a comprehensive framework for enhancing the temperature control of electric furnaces, integrating three novel components: a proportional-integral-derivative controller with a filter (PID-F), a customized objective function,
Externí odkaz:
https://doaj.org/article/da59c9b6534e4919a98ed855d1328729
Publikováno v:
IEEE Access, Vol 12, Pp 99469-99498 (2024)
This paper introduces Matrix-Valued Neural Coordinated Federated Deep Extreme Machine Learning, a novel approach for enhancing health prediction and intrusion detection on the Internet of Healthcare Things (IoHT). By leveraging Machine Learning (ML),
Externí odkaz:
https://doaj.org/article/c7837d132a8f4d96871df57032c3af1a
Publikováno v:
Heliyon, Vol 10, Iss 4, Pp e26583- (2024)
In this manuscript, we introduce a novel methodology for modeling acoustic units within a mobile architecture, employing a synergistic combination of various motivating techniques, including deep learning, sparse coding, and wavelet networks. The cor
Externí odkaz:
https://doaj.org/article/6c5730e642134000b54c67b9adf7eaf4
Autor:
Sarah A. Alzakari, Poorvi L. Vora
Publikováno v:
Cryptography, Vol 5, Iss 1, p 1 (2020)
We apply McKay’s pseudo-linear approximation of addition modular 2n to lightweight ARX block ciphers with large words, specifically the Speck family. We demonstrate that a pseudo-linear approximation can be combined with a linear approximation usin
Externí odkaz:
https://doaj.org/article/7eb22b6592b243f9a1cf5e7dae721701
Autor:
Sarah A. Alzakari, Poorvi L. Vora
Publikováno v:
Applications and Techniques in Information Security ISBN: 9789813347052
ATIS
ATIS
We propose a new cryptanalytic technique and key recovery attack for the Sparx cipher, Partly-Pseudo-Linear Cryptanalysis, a meet-in-the-middle attack combining linear and pseudo-linear approximations. We observe improvements over the linear hull att
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2821c7943515b532bf3ac843a93fc51b
https://doi.org/10.1007/978-981-33-4706-9_8
https://doi.org/10.1007/978-981-33-4706-9_8