Zobrazeno 1 - 10
of 52 717
pro vyhledávání: '"Azhar AS"'
Autor:
Azhar Ashami, Nihaya Al Sheyab
Publikováno v:
Jordan Journal of Nursing Research, Vol 2, Iss 4 (2023)
Background: The practicing of online learning by Tawjihi students left many experiencing different levels of anxiety and depression. Objective: The objective of this study is to investigate the level of anxiety and depression among the students who
Externí odkaz:
https://doaj.org/article/f41406a6946e4e788fe91873b847f3b9
Autor:
Cicero, Alessio, Maleki, Mohammad Ali, Azhar, Muhammad Waqar, Kockum, Anton Frisk, Trancoso, Pedro
Quantum computing has the potential to revolutionize multiple fields by solving complex problems that can not be solved in reasonable time with current classical computers. Nevertheless, the development of quantum computers is still in its early stag
Externí odkaz:
http://arxiv.org/abs/2410.12660
Autor:
Chakraborty, Nirman, Harchol, Adi, Abu-Hariri, Azhar, Yadav, Rajesh Kumar, Dawod, Muhamed, Gaonkar, Diksha Prabhu, Sharma, Kusha, Eyal, Anna, Amouyal, Yaron, Naveh, Doron, Lifshitz, Efrat
Intercalation is a robust method for tuning the physical properties of a vast number of van der Waals (vdW) materials. However, the prospects of using intercalation to modify magnetism in vdWs systems and the associated mechanisms have not been inves
Externí odkaz:
http://arxiv.org/abs/2410.11264
In the modern economic landscape, integrating financial services with Financial Technology (FinTech) has become essential, particularly in stock trend analysis. This study addresses the gap in comprehending financial dynamics across diverse global ec
Externí odkaz:
http://arxiv.org/abs/2410.00024
Quadrotor systems are common and beneficial for many fields, but their intricate behavior often makes it challenging to design effective and optimal control strategies. Some traditional approaches to nonlinear control often rely on local linearizatio
Externí odkaz:
http://arxiv.org/abs/2406.17973
Autor:
Rogers, Mitchell, Knowles, Kobe, Gendron, Gaël, Heidari, Shahrokh, Valdez, David Arturo Soriano, Azhar, Mihailo, O'Leary, Padriac, Eyre, Simon, Witbrock, Michael, Delmas, Patrice
Deep learning approaches for animal re-identification have had a major impact on conservation, significantly reducing the time required for many downstream tasks, such as well-being monitoring. We propose a method called Recurrence over Video Frames
Externí odkaz:
http://arxiv.org/abs/2406.13002
Depthwise and pointwise convolutions have fewer parameters and perform fewer operations than standard convolutions. As a result, they have become increasingly used in various compact DNNs, including convolutional neural networks (CNNs) and vision tra
Externí odkaz:
http://arxiv.org/abs/2404.19331
Autor:
Calderon, Mateo Jalen Andrew, Lucas, Lee Jun Lei, Rosli, Syarifuddin Azhar Bin, Ying, Stephanie See Hui, Yu, Jarell Lim En, Xiang, Maoyang, Teo, T. Hui
This project develops a pseudo-random number generator (PRNG) using the logistic map, implemented in Verilog HDL on an FPGA and processes its output through a Central Limit Theorem (CLT) function to achieve a Gaussian distribution. The system integra
Externí odkaz:
http://arxiv.org/abs/2404.19246
Autor:
Kanwal, Tanzeela, Hussain, Azhar, Avcı, İbrahim, Etemad, Sina, Rezapour, Shahram, Torres, Delfim F. M.
Publikováno v:
Chaos Solitons Fractals 181 (2024), Art. 114653, 21 pp
We employ Mittag-Leffler type kernels to solve a system of fractional differential equations using fractal-fractional (FF) operators with two fractal and fractional orders. Using the notion of FF-derivatives with nonsingular and nonlocal fading memor
Externí odkaz:
http://arxiv.org/abs/2406.12856
Publikováno v:
Phys. Scr. 99, 035929 (2024)
The properties of two-dimensional (2D) materials have been extensively studied and applied in various applications. Our interest is to theoretically investigate the thermal transport and thermoelectric properties of the 2D transition metal dichalcoge
Externí odkaz:
http://arxiv.org/abs/2401.13845