Zobrazeno 1 - 10
of 6 239
pro vyhledávání: '"Malik, Muhammad"'
Autor:
Amjad, Haadia, Goeller, Kilian, Seitz, Steffen, Knoll, Carsten, Bajwa, Naseer, Tetzlaff, Ronald, Malik, Muhammad Imran
Deep learning is actively being used in biometrics to develop efficient identification and verification systems. Handwritten signatures are a common subset of biometric data for authentication purposes. Generative adversarial networks (GANs) learn fr
Externí odkaz:
http://arxiv.org/abs/2410.06041
Autor:
Mahmood, Tariq, Ahmad, Ibtasam, Ansar, Malik Muhammad Zeeshan, Darwish, Jumanah Ahmed, Sherwani, Rehan Ahmad Khan
In recent years, financial analysts have been trying to develop models to predict the movement of a stock price index. The task becomes challenging in vague economic, social, and political situations like in Pakistan. In this study, we employed effic
Externí odkaz:
http://arxiv.org/abs/2409.08297
Autor:
Diaz, Moises, Ferrer, Miguel A., Impedovo, Donato, Malik, Muhammad Imran, Pirlo, Giuseppe, Plamondon, Rejean
Publikováno v:
ACM Computing Surveys (CSUR), vol.51, no 6, pp. 117:1-117:39 (2018)
Handwritten signatures are biometric traits at the center of debate in the scientific community. Over the last 40 years, the interest in signature studies has grown steadily, having as its main reference the application of automatic signature verific
Externí odkaz:
http://arxiv.org/abs/2405.13555
Background: Loneliness among students is increasing across the world, with potential consequences for mental health and academic success. To address this growing problem, accurate methods of detection are needed to identify loneliness and to differen
Externí odkaz:
http://arxiv.org/abs/2404.01845
Loneliness is a growing health concern as it can lead to depression and other associated mental health problems for people who experience feelings of loneliness over prolonged periods of time. Utilizing passive sensing methods that use smartphone and
Externí odkaz:
http://arxiv.org/abs/2402.05698
Publikováno v:
Personnel Review, 2024, Vol. 53, Issue 9, pp. 2413-2441.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/PR-10-2022-0707
Autor:
Ghayas, Muhammad Muzammil, Khan, Malik Muhammad Sheheryar, Kumar, Sanjeev, Mohyuddin, Syed Mofazzal
Publikováno v:
Journal of Asia Business Studies, 2023, Vol. 18, Issue 5, pp. 1142-1155.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JABS-03-2022-0094