Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Muhammad A. S. Khan"'
Publikováno v:
Complexity, Vol 2021 (2021)
Using a pump in reverse mode as a hydraulic turbine remains an alternative for hydropower generation in meeting energy needs, especially for the provision of electricity to remote and rural settlements. The primary challenge with small hydroelectric
Externí odkaz:
https://doaj.org/article/e1f4c5116c9e4c6db3af961982d1d4d3
Autor:
Ihsan Ullah Khan, Muhammad U. S. Khan
Publikováno v:
Human-Centric Intelligent Systems, Vol 4, Iss 3, Pp 437-446 (2024)
Abstract The notion of discerning political affiliations from users’ social media behavior instills a sense of unease in many. Democracy necessitates that individuals’ political affiliations remain private, and social media challenges this founda
Externí odkaz:
https://doaj.org/article/27dcbb0d130c4cfcb60a72b0613b81f6
Publikováno v:
IEEE Access, Vol 11, Pp 131221-131236 (2023)
Open-world object detection is a challenging set of tasks in the realm of computer vision. In these tasks, the object detection model processes the input image or video and undergoes inference to identify objects or features present in the image or v
Externí odkaz:
https://doaj.org/article/0a88e3b9a2a249beafc9b120c9439138
Autor:
Waleed Afandi, Syed Muhammad Ammar Hassan Bukhari, Muhammad U. S. Khan, Tahir Maqsood, Muhammad A. B. Fayyaz, Ali R. Ansari, Raheel Nawaz
Publikováno v:
IEEE Access, Vol 11, Pp 33178-33188 (2023)
Neural network models are black boxes in nature. The mechanics behind these black boxes are practically unexplainable. Having the insight into patterns identified by these algorithms can help unravel important properties of the subject in query. Thes
Externí odkaz:
https://doaj.org/article/d3ac9e7fb0314e61a743305b6675f960
Autor:
Waleed Afandi, Syed Muhammad Ammar Hassan Bukhari, Muhammad U. S. Khan, Tahir Maqsood, Samee U. Khan
Publikováno v:
IEEE Access. 10:76731-76741
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::688aae5af8b63a4f21ae45b906d33636
https://doi.org/10.1109/access.2022.3192458
https://doi.org/10.1109/access.2022.3192458
Autor:
Ali S. Kamal, Syed M. A. H. Bukhari, Muhammad U. S. Khan, Tahir Maqsood, Muhammad A. B. Fayyaz
Publikováno v:
Intelligent Sustainable Systems ISBN: 9789811976629
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3edfe0231ab737cabd57a534bf4dce38
https://doi.org/10.1007/978-981-19-7663-6_8
https://doi.org/10.1007/978-981-19-7663-6_8
Publikováno v:
IEEE Access, Vol 9, Pp 99581-99588 (2021)
Gradient descent is the workhorse of deep neural networks. Gradient descent has the disadvantage of slow convergence. The famous way to overcome slow convergence is to use momentum. Momentum effectively increases the learning factor of gradient desce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef9c8519954339215a21b462abcf1cd7
https://doi.org/10.1109/access.2021.3096976
https://doi.org/10.1109/access.2021.3096976
Autor:
Muhammad U. S. Khan, Syed M. A. H. Bukhari, Tahir Maqsood, Muhammad A. B. Fayyaz, Darren Dancey, Raheel Nawaz
Publikováno v:
Electronics; Volume 11; Issue 3; Pages: 350
Electronics, Vol 11, Iss 350, p 350 (2022)
Electronics, Vol 11, Iss 350, p 350 (2022)
Encryption Protocols e.g., HTTPS is utilized to secure the traffic between servers and clients for YouTube and other video streaming services, and to further secure the communication, VPNs are used. However, these protocols are not sufficient to hide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::171051cd55a45b5e643b1f8951d041b8
Autor:
Syed M. A. H. Bukhari, Waleed Afandi, Muhammad U. S. Khan, Tahir Maqsood, Muhammad B. Qureshi, Muhammad A. B. Fayyaz, Raheel Nawaz
Publikováno v:
Electronics; Volume 11; Issue 24; Pages: 4076
In recent years, video identification within encrypted network traffic has gained popularity for many reasons. For example, a government may want to track what content is being watched by its citizens, or businesses may want to block certain content
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e82e0d3b192ba63f226cbae39b861870
https://doi.org/10.3390/electronics11244076
https://doi.org/10.3390/electronics11244076
Nonlinear Control of Bioprocess Using Feedback Linearization, Backstepping, and Luenberger Observers
Publikováno v:
International Journal of Modern Nonlinear Theory and Application. :150-162
This paper addresses the analysis, design, and application of observer-based nonlinear controls by combining feedback linearization (FBL) and backstepping (BS) techniques with Luenberger observers. Complete development of observer-based controls is p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1dba02c33be972fdfc739eec03ea7f3
https://doi.org/10.4236/ijmnta.2014.34017
https://doi.org/10.4236/ijmnta.2014.34017