Zobrazeno 1 - 10
of 8 344
pro vyhledávání: '"ASLAM, MUHAMMAD"'
Autor:
Aslam, Muhammad Azeem, Jun, Wang, Ahmed, Nisar, Zaman, Muhammad Imran, Yanan, Li, Hongfei, Hu, Shiyu, Wang, Liu, Xin
In multi-label emotion classification, particularly for low-resource languages like Arabic, the challenges of class imbalance and label correlation hinder model performance, especially in accurately predicting minority emotions. To address these issu
Externí odkaz:
http://arxiv.org/abs/2410.03979
Autor:
Thanwane, Maonatlala, Shongwe, Sandile C., Aslam, Muhammad, Malela-Majika, Jean-Claude, Albassam, Mohammed
Publikováno v:
International Journal of Industrial Engineering Computations, Vol 12, Iss 4, Pp 401-414 (2021)
The combined effect of serial dependency and measurement errors is known to negatively affect the statistical efficiency of any monitoring scheme. However, for the recently proposed homogenously weighted moving average (HWMA) scheme, the research tha
Externí odkaz:
https://doaj.org/article/67f0382f018b463aa28771567002d9a5
Human emotion is a complex phenomenon conveyed and perceived through facial expressions, vocal tones, body language, and physiological signals. Multimodal emotion recognition systems can perform well because they can learn complementary and redundant
Externí odkaz:
http://arxiv.org/abs/2408.09035
Based on the expectations that the lowest-lying doubly-bottom tetraquark $T_{bb\bar u \bar d}$ ($J^P = 1^+$) and the bottom-charm tetraquark $T_{bc\bar u \bar d}$ ($J^P = 0^+$) are stable against strong and electromagnetic decays, we work out a numbe
Externí odkaz:
http://arxiv.org/abs/2405.01173
Publikováno v:
JMIR Research Protocols, Vol 9, Iss 11, p e23112 (2020)
BackgroundWorkplace cyberbullying harms the psychological and social functioning of professionals working in an organization and may decrease the productivity and efficiency of daily life tasks. A recent study on trainee doctors across 8 different Un
Externí odkaz:
https://doaj.org/article/b68cf48adac441f5b62cee1a5608546c
Autor:
Aslam, Muhammad Haseeb, Zeeshan, Muhammad Osama, Belharbi, Soufiane, Pedersoli, Marco, Koerich, Alessandro, Bacon, Simon, Granger, Eric
Deep learning models for multimodal expression recognition have reached remarkable performance in controlled laboratory environments because of their ability to learn complementary and redundant semantic information. However, these models struggle in
Externí odkaz:
http://arxiv.org/abs/2401.15489
Publikováno v:
Published in 'Progress of Theoretical and Experimental Physics' 2024
The experimental studies of the observables associated with the $b \rightarrow c$ transitions in the semileptonic $B-$ meson decays at BaBar, Belle and LHCb have shown some deviations from the Standard Model (SM) predictions, consequently, providing
Externí odkaz:
http://arxiv.org/abs/2401.02334
Autor:
Lateef, Abdul, Raza, Zulfiqar Ali, Aslam, Muhammad, Rehman, Muhammad Shoaib Ur, Iftikhar, Asma, Zahir, Abdul
Publikováno v:
Pigment & Resin Technology, 2023, Vol. 53, Issue 6, pp. 955-965.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/PRT-04-2023-0035
Autor:
Ali, Rizwan, Xu, Jin, Baig, Mushahid Hussain, Rehman, Hafiz Saif Ur, Waqas Aslam, Muhammad, Qasim, Kaleem Ullah
Publikováno v:
Journal of Economic Studies, 2024, Vol. 51, Issue 8, pp. 1677-1693.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JES-01-2024-0022
Publikováno v:
Kybernetes, 2023, Vol. 53, Issue 11, pp. 4840-4862.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/K-03-2023-0390