Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Afrah Y. Al-Rezami"'
Publikováno v:
Alexandria Engineering Journal, Vol 87, Iss , Pp 398-403 (2024)
The main goal of this article is to determine the optimally weighted coefficients (Ω1and Ω2) of the balanced loss function of the form. LΚ,Ω,ξoΨ(σ),ξ=Ω1γσΚξo,ξ+Ω2γσΚΨ(σ),ξ;Ω1+Ω2=1. Based on Type II Censored Data, by applying no
Externí odkaz:
https://doaj.org/article/7268e582f0654e529b9e0bd3dc39bc6c
Autor:
Adeel Ahmad, Hanen Louati, Akhter Rasheed, Asad Ali, Saqib Hussain, Shreefa O. Hilali, Afrah Y. Al-Rezami
Publikováno v:
Symmetry, Vol 16, Iss 11, p 1443 (2024)
In this article, our objective is to define and study a new subclass of analytic functions associated with the q-analogue of the sine function, operating in conjunction with a convolution operator. By manipulating the parameter q, we observe that the
Externí odkaz:
https://doaj.org/article/deeae522d2784621a6aeb632d667771a
Publikováno v:
Mathematics, Vol 12, Iss 16, p 2603 (2024)
In this paper, we introduce new classes of functions defined within the open unit disk by integrating the concepts of (λ,γ)-symmetrical functions, generalized Janowski functions, and quantum calculus. We derive a structural formula and a representa
Externí odkaz:
https://doaj.org/article/823309726a104cb19a1b70215aba83e4
Autor:
Hanen Louati, Saadia Rehman, Farhat Imtiaz, Nafisa A. AlBasheir, Afrah Y. Al-Rezami, Mohammed M. A. Almazah, Azmat Ullah Khan Niazi
Publikováno v:
Fractal and Fractional, Vol 8, Iss 7, p 430 (2024)
This study investigated the stability of bipartite nonlinear fractional-order multi-agent systems (FOMASs) in the presence of false data injection attacks (FDIAs) in a hostile environment. To tackle this problem we used signed graph theory, the Razum
Externí odkaz:
https://doaj.org/article/0596fae7391d44a8af76984b823a8674
Publikováno v:
Alexandria Engineering Journal, Vol 77, Iss , Pp 31-40 (2023)
The main objective of this article is to develop a linear, exponential loss function (LXLF) to the dependability value and variables of the Inverse Weibull Distribution (IWD) according to Lowest Record Values. By weighting the LXLF to construct curre
Externí odkaz:
https://doaj.org/article/bcf1f90d2e0d45f2ac2926785c12676e
Publikováno v:
Alexandria Engineering Journal, Vol 60, Iss 6, Pp 5649-5654 (2021)
We have explored the non-locality of two qubits interacting time-dependently with a nondegenerate parametric amplifier cavity fields in the presence of the Stark shift interaction term. The time-dependent two-qubit reduced density matrix is calculate
Externí odkaz:
https://doaj.org/article/9d5ab89a4f654fed8fb8a54f6d46e3d0
Autor:
Abdulbasit A. Darem, Fuad A. Ghaleb, Asma A. Al-Hashmi, Jemal H. Abawajy, Sultan M. Alanazi, Afrah Y. Al-Rezami
Publikováno v:
IEEE Access, Vol 9, Pp 97180-97196 (2021)
Malware variants are the major emerging threats that face cybersecurity due to the potential damage to computer systems. Many solutions have been proposed for detecting malware variants. However, accurate detection is challenging due to the constantl
Externí odkaz:
https://doaj.org/article/bd32c535c0454d2cb53b58b018281e09
Publikováno v:
Symmetry, Vol 13, Iss 5, p 802 (2021)
We explore a superconducting charge qubit interacting with a dissipative microwave cavity field. Wigner distribution and its non-classicality are investigated analytically under the effects of the qubit–cavity interaction, the qubit–cavity detuni
Externí odkaz:
https://doaj.org/article/e684390366a649638552c1a17b95d1a6
Autor:
Jemal H. Abawajy, Sultan Alanazi, Afrah Y. AL-Rezami, Fuad A. Ghaleb, Asma A. Alhashmi, Abdulbasit Darem
Publikováno v:
IEEE Access, Vol 9, Pp 97180-97196 (2021)
Malware variants are the major emerging threats that face cybersecurity due to the potential damage to computer systems. Many solutions have been proposed for detecting malware variants. However, accurate detection is challenging due to the constantl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e6f362f68a9c9d952ae744ac2f4c722
https://doi.org/10.1109/access.2021.3093366
https://doi.org/10.1109/access.2021.3093366