Zobrazeno 1 - 10
of 441
pro vyhledávání: '"AlHassan, S."'
Autor:
Yasin, Alhassan S., Gill, Prabdeep S.
The inherent volatility and dynamic fluctuations within the financial stock market underscore the necessity for investors to employ a comprehensive and reliable approach that integrates risk management strategies, market trends, and the movement tren
Externí odkaz:
http://arxiv.org/abs/2411.07585
In this paper, we introduce and prove QR Sort, a novel non-comparative integer sorting algorithm. This algorithm uses principles derived from the Quotient-Remainder Theorem and Counting Sort subroutines to sort input sequences stably. QR Sort exhibit
Externí odkaz:
http://arxiv.org/abs/2411.07526
Autor:
Ahmed, Junaid, Yasin, Alhassan S.
The inception of spatial transcriptomics has allowed improved comprehension of tissue architectures and the disentanglement of complex underlying biological, physiological, and pathological processes through their positional contexts. Recently, these
Externí odkaz:
http://arxiv.org/abs/2302.00658
Publikováno v:
International Journal of Women's Health, Vol Volume 15, Pp 837-843 (2023)
Samia Alhassan,1 Abdelgadir Elmugadam,1 Ghada A Elfadil,1 Nuha Abubaker,1 Elyasa M Elfaki,2 Alneil Hamza,2 Ezeldine K Abdalhabib,2 Tarig Karar3,4 1Department of Clinical Chemistry, College of Medical Laboratory Science, Sudan University of Science an
Externí odkaz:
https://doaj.org/article/a40b958375284e63bcb3822572872ac6
Publikováno v:
In Annals of Nuclear Energy 15 September 2023 190
Autor:
Gkoura, L., Diamantopoulos, G., Fardis, M., Homouz, D., Alhassan, S., Beazi-Katsioti, M., Karagianni, M., Anastasiou, A., Romanos, G., Hassan, J., Papavassiliou, G.
It is well known that water inside hydrophobic nano-channels diffuses faster than bulk water. Recent theoretical studies have shown that this enhancement depends on the size of the hydrophobic nanochannels. However, experimental evidence of this depe
Externí odkaz:
http://arxiv.org/abs/1911.08219
Autor:
Yasin, Alhassan S., Musho, Terence D.
In this study, a machine learning-based technique is developed to reduce the computational cost required to explore large design spaces of substitutional alloys. The first advancement is based on a neural network approach to predict the initial posit
Externí odkaz:
http://arxiv.org/abs/1810.04687
This study investigates the photocatalytic nitrogen fixation on a cation-doped surface (Bi$_{x}$M$_{y}$)$_2$MoO$_6$ where (M = Fe, La, Yb) in both the orthorhombic and monoclinic configurations using a density functional theory (DFT) approach with ex
Externí odkaz:
http://arxiv.org/abs/1803.07174
Autor:
Al Huwayz, M., Galeti, H.V.A., Lemine, O.M., Ibnaouf, K.H., Alkaoud, A., Alaskar, Y., Salhi, A., Alhassan, S., Alotaibi, S., Almalki, A., Almunyif, A., Alhassni, A., Jameel, D.A., Gobato, Y. Galvão, Henini, M.
Publikováno v:
In Journal of Luminescence November 2022 251
Publikováno v:
In Annals of Nuclear Energy August 2022 173