Zobrazeno 1 - 10
of 30 966
pro vyhledávání: '"Manzoor, A. A."'
Autor:
Hasan, Asif Manzoor, Pecnik, Rene
We introduce a novel approach to derive compressibility corrections for Reynolds-averaged Navier-Stokes (RANS) models. Using this approach, we derive variable-property corrections for wall-bounded flows that are consistent with the semi-local velocit
Externí odkaz:
http://arxiv.org/abs/2410.14637
We report the observation of the hyperfine spectrum of the weak P(63)4-4 line of the B-X electronic transition of molecular iodine 127I2 near 652.4 nm, using frequency-modulated saturated absorption spectroscopy. Through the precise measurements of t
Externí odkaz:
http://arxiv.org/abs/2410.03305
Autor:
Khan, Wali Ullah, Lagunas, Eva, Mahmood, Asad, Asif, Muhammad, Ahmed, Manzoor, Chatzinotas, Symeon
The reconfigurable intelligent surface (RIS) technology shows great potential in sixth-generation (6G) terrestrial and non-terrestrial networks (NTNs) since it can effectively change wireless settings to improve connectivity. Extensive research has b
Externí odkaz:
http://arxiv.org/abs/2409.06073
Autor:
Ahmad, Murad, Ali, Liaqat, Imran, Muhammad, Rameez-ul-Islam, Ikram, Manzoor, Din, Rafi Ud, Ahmad, Ashfaq, Ahmad, Iftikhar
Hyperentangled states are highly efficient and resource economical. This is because they enhance the quantum information encoding capabilities due to the correlated engagement of more than one degree of freedom of the same quantum entity while keepin
Externí odkaz:
http://arxiv.org/abs/2408.16397
Autor:
Manzoor, Ayesha, Rattani, Ajita
Published research highlights the presence of demographic bias in automated facial attribute classification algorithms, particularly impacting women and individuals with darker skin tones. Existing bias mitigation techniques typically require demogra
Externí odkaz:
http://arxiv.org/abs/2408.16881
Autor:
Manzoor, Anam, Singh, Aryan, Sistu, Ganesh, Mohandas, Reenu, Grua, Eoin, Scanlan, Anthony, Eising, Ciarán
Publikováno v:
Proceedings of the Irish Machine Vision and Image Processing Conference 2024
This study investigates the effectiveness of modern Deformable Convolutional Neural Networks (DCNNs) for semantic segmentation tasks, particularly in autonomous driving scenarios with fisheye images. These images, providing a wide field of view, pose
Externí odkaz:
http://arxiv.org/abs/2407.16647
Empathy plays a pivotal role in fostering prosocial behavior, often triggered by the sharing of personal experiences through narratives. However, modeling empathy using NLP approaches remains challenging due to its deep interconnection with human int
Externí odkaz:
http://arxiv.org/abs/2406.11250
Autor:
Khan, Wali Ullah, Mahmood, Asad, Jamshed, Muhammad Ali, Lagunas, Eva, Ahmed, Manzoor, Chatzinotas, Symeon
Reconfigurable intelligent surface (RIS) has emerged as a promising technology in both terrestrial and non-terrestrial networks (NTNs) due to its ability to manipulate wireless environments for better connectivity. Significant studies have been focus
Externí odkaz:
http://arxiv.org/abs/2406.10691
The impact of intrinsic compressibility effects -- changes in fluid volume due to pressure variations -- on high-speed wall-bounded turbulence has often been overlooked or incorrectly attributed to mean property variations. To unambiguously quantify
Externí odkaz:
http://arxiv.org/abs/2406.07649
Publikováno v:
Mod. Phys. Lett. A 39(2024)2450048
The main purpose of this paper is to obtain physically stable stellar models coupled with anisotropic matter distribution in the context of $f(\mathcal{R},\mathrm{T}^{2})$ theory. For this, we consider a static spherical geometry and formulate modifi
Externí odkaz:
http://arxiv.org/abs/2406.03101