Zobrazeno 1 - 10
of 4 957
pro vyhledávání: '"Muhammad,Khalid"'
Autor:
Rezapour, Mostafa, Niazi, Muhammad Khalid Khan, Lu, Hao, Narayanan, Aarthi, Gurcan, Metin Nafi
This study introduces the Supervised Magnitude-Altitude Scoring (SMAS) methodology, a machine learning-based approach, for analyzing gene expression data obtained from nonhuman primates (NHPs) infected with Ebola virus (EBOV). We utilize a comprehens
Externí odkaz:
http://arxiv.org/abs/2401.08738
Publikováno v:
Journal of Intellectual Capital, 2024, Vol. 25, Issue 5/6, pp. 1133-1153.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JIC-01-2024-0025
Objective: To investigate free radical scavenging potential of thiocarbohydrazones derivatives for the discovery of antioxidant compounds of synthetic origin. Method: Eighteen thiocarbohydrazones derivatives were screened for antioxidant activities b
Externí odkaz:
http://arxiv.org/abs/2310.00939
Autor:
Muhammad Khalid Iqbal, Bakhtawar Khan, Hifsa, Ge YuXuan, Muhammad Mujahid, Mubin Mustafa Kiyani, Hamid Khan, Shahid Bashir
Publikováno v:
ACS Omega, Vol 9, Iss 46, Pp 45663-45672 (2024)
Externí odkaz:
https://doaj.org/article/bb7d486133d44c298ad2c5ad54eb32f2
Autor:
Ahmed S. Menesy, Sajjad Almomin, Hamdy M. Sultan, Ibrahim O. Habiballah, Muhammad Majid Gulzar, Mohammed Alqahtani, Muhammad Khalid
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 15, Pp 2907-2924 (2024)
Abstract In order to maximize the electricity supply from clean energy sources, the goal of the smart power system is to unite all renewable energy sources. The goal of the present study is to use three optimization techniques, artificial rabbits opt
Externí odkaz:
https://doaj.org/article/369dbb2138b04b8b9dd83607f449528f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Currently, polycyclic aromatic compounds in organic solar cells (OSCs) have gained substantial consideration in research communities due to their promising characteristics. Herein, polycyclic aromatic hydrocarbons (PAHs) core-based chromopho
Externí odkaz:
https://doaj.org/article/36ab5b29cc954980a572e5c757e7e9c3
Autor:
Su, Ziyu, Rezapour, Mostafa, Sajjad, Usama, Niu, Shuo, Gurcan, Metin Nafi, Niazi, Muhammad Khalid Khan
Although multiple instance learning (MIL) methods are widely used for automatic tumor detection on whole slide images (WSI), they suffer from the extreme class imbalance within the small tumor WSIs. This occurs when the tumor comprises only a few iso
Externí odkaz:
http://arxiv.org/abs/2309.09412
Autor:
Islam, Talat, Zulfiqar, Itrat, Aftab, Hira, Alkharabsheh, Omar Hamdan Mohammad, Shahid, Muhammad Khalid
Publikováno v:
Journal of Organizational Change Management, 2024, Vol. 37, Issue 5, pp. 1051-1072.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JOCM-09-2023-0382