Zobrazeno 1 - 10
of 208
pro vyhledávání: '"Saleem, Khalid"'
Unsupervised Domain Adaptation (UDA) methods facilitate knowledge transfer from a labeled source domain to an unlabeled target domain, navigating the obstacle of domain shift. While Convolutional Neural Networks (CNNs) are a staple in UDA, the rise o
Externí odkaz:
http://arxiv.org/abs/2311.12589
Autor:
Khan, Muhammad Fahad, Saleem, Khalid, Alotaibi, Mohammed, Hazzazi, Mohammad Mazyad, Rehman, Eid, Abbasi, Aaqif Afzaal, Gondal, Muhammad Asif
Publikováno v:
Computers, Materials & Continua, 2022
Internet of Things is an ecosystem of interconnected devices that are accessible through the internet. The recent research focuses on adding more smartness and intelligence to these edge devices. This makes them susceptible to various kinds of securi
Externí odkaz:
http://arxiv.org/abs/2206.09424
Autor:
Khan, Muhammad Fahad, Saleem, Khalid, Shah, Tariq, Hazzazi, Mohammad Mazyad, Bahkali, Ismail, Shukla, Piyush Kumar
Publikováno v:
Computational Intelligence and Neuroscience,2022
The protection of confidential information is a global issue and block encryption algorithms are the most reliable option. The famous information theorist, Claude Shannon has given two desirable characteristics that should exist in a strong cipher wh
Externí odkaz:
http://arxiv.org/abs/2205.13593
Autor:
Sultan, Hussein S., Saleem, Khalid B., Alshammari, Badr M., Turki, Mohamed, Aydi, Abdelkarim, Kolsi, Lioua
Publikováno v:
In Case Studies in Thermal Engineering September 2024 61
Publikováno v:
In International Journal of Thermofluids August 2024 23
Publikováno v:
In Journal of King Saud University - Computer and Information Sciences July 2024 36(6)
Autor:
Khan, Sami Ullah, Bibi, Shanza, Bibi, Aqsa, Adnan, Saleem, Khalid B., Alshammari, Badr M., Hajlaoui, Rejab, Kolsi, Lioua
Publikováno v:
In Alexandria Engineering Journal April 2024 93:22-32
Autor:
Ali, Hina1,2 (AUTHOR) hali@numl.edu.pk, Saleem, Khalid1 (AUTHOR)
Publikováno v:
PLoS ONE. 6/21/2024, Vol. 19 Issue 6, p1-16. 16p.
In recent era, networks of data are growing massively and forming a shape of complex structure. Data scientists try to analyze different complex networks and utilize these networks to understand the complex structure of a network in a meaningful way.
Externí odkaz:
http://arxiv.org/abs/1902.06692
Autor:
Zuhra, Fatima Tuz, Saleem, Khalid
Publikováno v:
In Information Processing and Management May 2023 60(3)