Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Fahad Aljuaydi"'
Publikováno v:
Alexandria Engineering Journal, Vol 104, Iss , Pp 371-377 (2024)
The generated nonlocal correlations of two superconducting-charge (SCC) qubits including uncertainty-induced nonlocality (UIN), Bell-Horodecki nonlocality, and negativity’s entanglement have been explored by intrinsic decoherence model. An initial
Externí odkaz:
https://doaj.org/article/994950582e00426a91524796990dfa9a
Publikováno v:
Results in Engineering, Vol 22, Iss , Pp 102151- (2024)
The increasing demand for thermal management due to the high heat density heat exchangers for different technological and industrial processes draw the attention of researchers in heat transfer analysis to investigate the simultaneous solution to thi
Externí odkaz:
https://doaj.org/article/2aa1e7c0cc7043649cb6d1a8bbdc5305
Autor:
Muhammad Farhan, Fahad Aljuaydi, Zahir Shah, Ebraheem Alzahrani, Ebenezer Bonyah, Saeed Islam
Publikováno v:
Scientific African, Vol 24, Iss , Pp e02127- (2024)
Hepatitis B virus (HBV) is a much more threatening and prolonged disease than hepatitis A. It can start as an acute disease, but in roughly 5 to 10% of situations, it can progress to a chronic condition that permanently damages the liver. After getti
Externí odkaz:
https://doaj.org/article/69f7a383cbea4036aea1ca5cb19d1d5e
Publikováno v:
IEEE Access, Vol 12, Pp 164503-164519 (2024)
Detecting junta variables is a critical issue in Boolean function analysis, circuit design optimization, and machine learning feature selection. In this paper, we investigate a novel quantum computation algorithm based on the Mz operator. The algorit
Externí odkaz:
https://doaj.org/article/500b4750658042418a288ca7eae19c17
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract The control and management of energy and their associated issues are increasingly recognized as one of mankind’s greatest challenges in the coming years to keep pace with the surge in industrialization and technology. Free convection optim
Externí odkaz:
https://doaj.org/article/06924ceca23e438d8f780debe2e30425
Publikováno v:
International Journal of Thermofluids, Vol 22, Iss , Pp 100639- (2024)
Externí odkaz:
https://doaj.org/article/f8c44d635729457eb7db6d2632187f36
Publikováno v:
International Journal of Thermofluids, Vol 21, Iss , Pp 100537- (2024)
Researchers are paying close attention to Casson fluid due to their noteworthy applications in industries. Among the non-Newtonian substances, the Casson fluid is one of the most important types. In this paper, the flow of sodium alginate-based Casso
Externí odkaz:
https://doaj.org/article/6caabab2e55a4d349f4c078e989021a9
Autor:
Abdul Hamid Ganie, Fahad Aljuaydi, Zubair Ahmad, Ebenezer Bonyah, Naveed Khan, N. S. Alharthi, Saqib Murtaza, Mashael M. AlBaidani
Publikováno v:
AIP Advances, Vol 14, Iss 1, Pp 015135-015135-21 (2024)
The use of fractal–fractional derivatives has attracted considerable interest in the analysis of chaotic and nonlinear systems as they provide a unique capability to represent complex dynamics that cannot be fully described by integer-order derivat
Externí odkaz:
https://doaj.org/article/50d674ccc5864e85931147df8662a652
Publikováno v:
AIP Advances, Vol 14, Iss 1, Pp 015340-015340-12 (2024)
It is essential for mathematicians, physicists, and engineers to construct fractional mathematical models for specific phenomena and develop numerical or analytical solutions for these models. In this work, we implement the natural decomposition appr
Externí odkaz:
https://doaj.org/article/92cd4fb68b5a4df4a7cb8c59388ea763
Publikováno v:
International Journal of Thermofluids, Vol 20, Iss , Pp 100475- (2023)
The current research focuses on harnessing the computational power of neural networks, notably the Levenberg-Marquardt backpropagation optimization algorithm (ANN-LMBOA), to simulate the behavior of magnetohydrodynamic (MHD) three-dimensional non-New
Externí odkaz:
https://doaj.org/article/c6b257fbb19c4140a9b7eaac71436098