Zobrazeno 1 - 10
of 642
pro vyhledávání: '"Ali, Arslan"'
Publikováno v:
Journal of Magnesium and Alloys, Vol 12, Iss 1, Pp 237-250 (2024)
Electronic interactions of the Group 2A elements with magnesium have been studied through the dilute solid solutions in binary Mg-Ca, Mg-Sr and Mg-Ba systems. This investigation incorporated the difference in the ‘Work Function’ (ΔWF) measured v
Externí odkaz:
https://doaj.org/article/4b29880956c64c798c538c13e590558c
Publikováno v:
In Materials Chemistry and Physics 1 June 2024 319
Object detection is one of the fundamental objectives in Applied Computer Vision. In some of the applications, object detection becomes very challenging such as in the case of satellite image processing. Satellite image processing has remained the fo
Externí odkaz:
http://arxiv.org/abs/2104.11677
Publikováno v:
In Journal of Magnesium and Alloys January 2024 12(1):237-250
Autor:
Hassan, Mahjabeen, Kanwal, Tehreem, Siddiqui, Amna Jabbar, Ali, Arslan, Hussain, Dilshad, Musharraf, Syed Ghulam
Publikováno v:
In Food Control February 2025 168
Publikováno v:
PLoS ONE, Vol 19, Iss 2, p e0295514 (2024)
The Internet has become the fastest-growing way to sell luxury products. Purchase intention for luxury products in online stores has taken attention in the last few years since the sector has proliferated. The primary objective of this study is to ex
Externí odkaz:
https://doaj.org/article/b55007b9f44341198df93ff1eca4e050
Deep learning has shown outstanding performance in several applications including image classification. However, deep classifiers are known to be highly vulnerable to adversarial attacks, in that a minor perturbation of the input can easily lead to a
Externí odkaz:
http://arxiv.org/abs/2010.15487
We present BioMetricNet: a novel framework for deep unconstrained face verification which learns a regularized metric to compare facial features. Differently from popular methods such as FaceNet, the proposed approach does not impose any specific met
Externí odkaz:
http://arxiv.org/abs/2008.06021
Publikováno v:
ICRA 2020, pp. 8158-8164
We present the MagNet, a neural network-based multi-agent interaction model to discover the governing dynamics and predict evolution of a complex multi-agent system from observations. We formulate a multi-agent system as a coupled non-linear network
Externí odkaz:
http://arxiv.org/abs/2001.09001
Publikováno v:
Pakistan Armed Forces Medical Journal, Vol 73, Iss 6 (2023)
Objective: To evaluate functional outcomes and complications in gunshot femur shaft fractures treated with intramedullary nailing primarily. Study Design: Prospective longitudinal study Place and Duration of Study: Department of Orthopaedic Combine
Externí odkaz:
https://doaj.org/article/77ecb5e4cebf4699a83c6813246a4d63