Zobrazeno 1 - 10
of 133
pro vyhledávání: '"Mohammed Zak"'
Autor:
Adnan Aslam, Takasar Hussain, Muhammad Ozair, Arfah Hafeez, Wedad Albalawi, Mohammed Zakarya, Nadir Omer
Publikováno v:
Alexandria Engineering Journal, Vol 112, Iss , Pp 672-687 (2025)
In this work, we discuss a lethal disease known as Lassa Fever through mathematical modeling. Seven dimensional mathematical model is considered as the system of ordinary differential equations. First, we compute the equilibrium point in which no dis
Externí odkaz:
https://doaj.org/article/288296078c894b0ab258ae048204a1f9
Autor:
Wedad Albalawi, Nauman Raza, Saima Arshed, Evren Hincal, Saud Owyed, Kottakkaran Sooppy Nisar, Mohammed Zakaria
Publikováno v:
Alexandria Engineering Journal, Vol 112, Iss , Pp 140-150 (2025)
The extraction of novel optical solitons for the proposed model, which includes Kerr law nonlinearity, space–time dispersion, different Hamiltonian perturbation terms, and the effect of multiplicative white noise, is the aim of this work. A complet
Externí odkaz:
https://doaj.org/article/28c43c2039dc48618b84a0ba0b32f29c
Autor:
Hatem Gasmi, Muhammad Waqas, Umair Khan, Aurang Zaib, Anuar Ishak, Imtiaz Khan, Ali Elrashidi, Mohammed Zakarya
Publikováno v:
Alexandria Engineering Journal, Vol 111, Iss , Pp 566-578 (2025)
Nanofluid is one of the modern heat transfer fluids that offer the potential to substantially enhance the heat transfer efficiency of conventional fluids. Extensive research has been undertaken to explore its fundamental thermophysical properties spe
Externí odkaz:
https://doaj.org/article/daefc25e3d5b421b9a890b26a942f33b
Autor:
Ahmed M. Ahmed, Ahmed I. Saied, Mohammed Zakarya, Amirah Ayidh I Al-Thaqfan, Maha Ali, Haytham M. Rezk
Publikováno v:
AIMS Mathematics, Vol 9, Iss 11, Pp 31926-31946 (2024)
In this study, we introduced several novel Hardy-type inequalities with negative parameters for monotone functions within the framework of delta calculus on time scales $ \mathbb{T} $. As an application, when $ \mathbb{T = N}_{0}, $ we derived discre
Externí odkaz:
https://doaj.org/article/a9b1904245624a6087623be0293f4730
Autor:
Yongfeng Wang, Liping Yu, A.M. Obalalu, Umair Khan, Muhammad Waqas, Ali Elrashidi, Mohammed Zakarya
Publikováno v:
Alexandria Engineering Journal, Vol 115, Iss , Pp 252-263 (2025)
This research aims to enhance heat transfer and optimize entropy in blood-based ternary hybrid nanofluids (THNs) flowing through a parallel channel. These THNs consist of silver (Ag), silicon dioxide (SiO2), and magnetite (Fe3O4) nanoparticles suspen
Externí odkaz:
https://doaj.org/article/89e458ebe91749ed8de81c9652e471a1
Autor:
Reem Altuijri, Usman Afzal, Nauman Raza, Evren Hinçal, Amir Abdel Menaem, R.T. Matoog, Mohammed Zakarya
Publikováno v:
Alexandria Engineering Journal, Vol 104, Iss , Pp 551-563 (2024)
This paper discusses the newly discovered acoustic waves that arise from the equilibrium between the inertia of dust particles and plasma pressure. The propagation of these waves is demonstrated to be non-linear, with supersonic solitons exhibiting e
Externí odkaz:
https://doaj.org/article/d674f3d09639459aa86685a5c59722cc
Publikováno v:
AIMS Mathematics, Vol 9, Iss 9, Pp 23449-23467 (2024)
This study explores the nonlinear Peyrard-Bishop DNA dynamic model, a nonlinear evolution equation that describes the behavior of DNA molecules by considering hydrogen bonds between base pairs and stacking interactions between adjacent base pairs. Th
Externí odkaz:
https://doaj.org/article/1c9df979050b411ca4d0d799ae2d5e2f
Autor:
Aijaz Ahmad, Fatimah M. Alghamdi, Afaq Ahmad, Olayan Albalawi, Abdullah A. Zaagan, Mohammed Zakarya, Ehab M. Almetwally, Getachew Tekle Mekiso
Publikováno v:
Alexandria Engineering Journal, Vol 100, Iss , Pp 42-52 (2024)
Since standard distributions do not fundamentally have an acceptable fit to all types of data sets, it is necessary to construct extensions of standard distributions to increase their capability in data modeling. As a result of this shortage in old o
Externí odkaz:
https://doaj.org/article/fce28071ea5b47be9a4ff79942bda9ee
Publikováno v:
Egyptian Informatics Journal, Vol 28, Iss , Pp 100559- (2024)
Heart disease continues to be a prominent cause of death globally, emphasizing the critical requirement for precise prediction techniques and prompt therapies. This research presents a new method that utilizes the collective capabilities of autoencod
Externí odkaz:
https://doaj.org/article/005fa21376414b76b897c19baa90129e
Autor:
Atif Mahmood, Zati Hakim Azizul, Mohammed Zakariah, Samir Brahim Belhaouari, Ayman Altameem, Roziana Ramli, Abdulaziz S. Almazyad, Miss Laiha Mat Kiah, Saaidal Razalli Azzuhri
Publikováno v:
PeerJ Computer Science, Vol 10, p e2422 (2024)
Federated learning (FL) is a popular method where edge devices work together to train machine learning models. This study introduces an efficient network for analyzing healthcare records. It uses VPN technology and applies a federated learning approa
Externí odkaz:
https://doaj.org/article/698b6377be7340baa6de69d117e6ed5a