Zobrazeno 1 - 10
of 92 687
pro vyhledávání: '"A, Rashed"'
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
تاریخ اسلام, Vol 24, Iss شماره 4-دی 1402 - مسلسل 96, Pp 181-208 (2023)
The death of Sultan Mohammad Seljuqi in 511 A. H was the beginning of the weakening of the Seljuqs and the efforts of the Abbasid caliphs to strengthen the worldly power. These conflicts led to many disagreements and conroversies between the Seljuqs
Externí odkaz:
https://doaj.org/article/a05f244e18c847599559d85376af959d
Autor:
AREF, MOHAMMED
Publikováno v:
Contemporary Arab Affairs, 2018 Mar 01. 11(1/2), 279-296.
Externí odkaz:
https://www.jstor.org/stable/48602246
Autor:
Urooj, Shabana, Alwadai, Norah Muhammad, Sorathiya, Vishal, Lavadiya, Sunil, Parmar, Juveriya, Patel, Shobhit K., Abd El-Aziz, Ismail A., Zaki Rashed, Ahmed Nabih
Publikováno v:
Journal of Optical Communications; Apr2024, Vol. 45 Issue 2, p331-345, 15p
Publikováno v:
Alexandria Science Exchange Journal. Jul-Sep2021, Vol. 42 Issue 3, p1507-1529. 23p.
Autor:
Rashed, Ahmed
We investigate the decay process $J/\psi \rightarrow e^+ e^-\phi$, where the relatively clean electromagnetic (EM) transitions dominate at leading order at the tree level, while hadronic contributions arise only through hadronic loop transitions. The
Externí odkaz:
http://arxiv.org/abs/2412.09926
Machine learning (ML) algorithms play a crucial role in decision making across diverse fields such as healthcare, finance, education, and law enforcement. Despite their widespread adoption, these systems raise ethical and social concerns due to poten
Externí odkaz:
http://arxiv.org/abs/2412.09900
Machine learning (ML) algorithms have become integral to decision making in various domains, including healthcare, finance, education, and law enforcement. However, concerns about fairness and bias in these systems pose significant ethical and social
Externí odkaz:
http://arxiv.org/abs/2412.09896
This paper presents the Multi-Objective Ant Nesting Algorithm (MOANA), a novel extension of the Ant Nesting Algorithm (ANA), specifically designed to address multi-objective optimization problems (MOPs). MOANA incorporates adaptive mechanisms, such a
Externí odkaz:
http://arxiv.org/abs/2411.15157