Zobrazeno 1 - 10
of 43 966
pro vyhledávání: '"A. MEHMOOD"'
Autor:
U. Saeed, M. R. Uppal, R. Uppal, M. S. Uppal, A. A. Khan, A. Mehmood, H. Saleem, M. S. Alam, Dilber Uzun Ozsahin, Berna Uzun, Ilker Ozsahin, Z. Z. Piracha
Publikováno v:
Brazilian Journal of Biology, Vol 84 (2024)
Abstract Coronary Artery Disease (CAD) is a global health concern, with diagnostic modalities and risk factors that exhibit regional variations. This study, conducted at the Islamabad Diagnostic Center, Pakistan, aimed to provide a comprehensive asse
Externí odkaz:
https://doaj.org/article/50125374c7604ffe86253b7e5baea2db
Publikováno v:
Social Network Analysis and Mining 13.1 (2023): 125
Cities are widely considered the lifeblood of a nations economy housing the bulk of industries, commercial and trade activities, and employment opportunities. Within this economic context, multinational corporations play an important role in this eco
Externí odkaz:
http://arxiv.org/abs/2412.02833
Autor:
Ramzan, Muhammad Umer, Khaddim, Wahab, Rana, Muhammad Ehsan, Ali, Usman, Ali, Manohar, Hassan, Fiaz ul, Mehmood, Fatima
This research paper addresses the significant challenge of accurately estimating poverty levels using deep learning, particularly in developing regions where traditional methods like household surveys are often costly, infrequent, and quickly become
Externí odkaz:
http://arxiv.org/abs/2411.19690
The metaphor studies community has developed numerous valuable labelled corpora in various languages over the years. Many of these resources are not only unknown to the NLP community, but are also often not easily shared among the researchers. Both i
Externí odkaz:
http://arxiv.org/abs/2411.18260
Graph convolutional networks (GCNs) are an effective skeleton-based human action recognition (HAR) technique. GCNs enable the specification of CNNs to a non-Euclidean frame that is more flexible. The previous GCN-based models still have a lot of issu
Externí odkaz:
http://arxiv.org/abs/2411.06553
Human Action Recognition (HAR) is an interesting research area in human-computer interaction used to monitor the activities of elderly and disabled individuals affected by physical and mental health. In the recent era, skeleton-based HAR has received
Externí odkaz:
http://arxiv.org/abs/2410.23806
Autor:
Mehmood, Sheheryar, Ochs, Peter
Numerous Optimization Algorithms have a time-varying update rule thanks to, for instance, a changing step size, momentum parameter or, Hessian approximation. In this paper, we apply unrolled or automatic differentiation to a time-varying iterative pr
Externí odkaz:
http://arxiv.org/abs/2410.15923
This work introduces a novel numerical method that relaxes the minimal configuration requirements for joint sensors and sources localization (JSSL) in 3D space using time of arrival (TOA) measurements. Traditionally, the principle requires that the n
Externí odkaz:
http://arxiv.org/abs/2410.19772
Publikováno v:
Universe 10 128 (2024)
Beta decay is one of the key factors to understand the r process and evolution of massive stars. The Gamow Teller (GT) transitions drive the beta decay process. We employ the proton neutron quasiparticle random phase approximation (on QRPA) model to
Externí odkaz:
http://arxiv.org/abs/2409.13264
Publikováno v:
European Physical Journal A 60:75 (2024)
The beta-decay log ft values for 210 215Pb 210 215Bi and 210 215Bi 210 215Po transitions in the north east region of 208Pb nuclei are estimated using the proton neutron quasiparticle random phase approximation model. The pn-QRPA equations were solved
Externí odkaz:
http://arxiv.org/abs/2409.12565