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of 761
pro vyhledávání: '"Yousuf, Muhammad"'
This paper describes a multi-feature dataset for training machine learning classifiers for detecting malicious Windows Portable Executable (PE) files. The dataset includes four feature sets from 18,551 binary samples belonging to five malware familie
Externí odkaz:
http://arxiv.org/abs/2210.16285
Autor:
Asif Marium, Yousuf Muhammad Hamza, Farooqui Usman Shakeel, Nashwan Abdulqadir J., Ullah Irfan
Publikováno v:
Open Medicine, Vol 19, Iss 1, Pp 687-93 (2024)
Cardiovascular diseases are the leading cause of mortality and morbidity globally. Clinicians must know cutaneous signs of cardiovascular disease, including petechiae, macules, purpura, lentigines, and rashes. Although cutaneous manifestations of dis
Externí odkaz:
https://doaj.org/article/5bfcf4e89f3b4087accb8f92567dbcaa
Autor:
Fayaz, Aneela, Yousuf, Muhammad, Segda, Abdoulaye, Atia-tul-Wahab, Zafar, Humaira, Kamran, Muhammad, Meda, Roland Nâg-Tiéro, Wang, Yan, Choudhary, M. Iqbal
Publikováno v:
In Fitoterapia October 2024 178
Autor:
David, Eric T., Yousuf, Muhammad Saad, Mei, Hao-Ruei, Jain, Ashita, Krishnagiri, Sharada, Elahi, Hajira, Venkatesan, Rupali, Srikanth, Kolluru D., Dussor, Gregory, Dalva, Matthew B., Price, Theodore J.
Publikováno v:
In Pharmacological Research August 2024 206
Autor:
Muhammad Saqib, Qazi, Mannan, Abdul, Noman, Muhammad, Chougale, Mahesh Y., Patil, Chandrashekhar S., Ko, Youngbin, Kim, Jungmin, Patil, Swapnil R., Yousuf, Muhammad, Ali Shaukat, Rayyan, Pyo Jeon, Young, Dubal, Deepak, Bae, Jinho
Publikováno v:
In Chemical Engineering Journal 15 June 2024 490
Autor:
Hussain, Sajid, Ferrentino, Roberta, Khan, Khakemin, Ali, Zulfiqar, Yousuf, Muhammad, Andreottola, Gianni
Publikováno v:
In Results in Engineering June 2024 22
Real-world graphs are massive in size and we need a huge amount of space to store them. Graph compression allows us to compress a graph so that we need a lesser number of bits per link to store it. Of many techniques to compress a graph, a typical ap
Externí odkaz:
http://arxiv.org/abs/2105.05273
Graph sampling allows mining a small representative subgraph from a big graph. Sampling algorithms deploy different strategies to replicate the properties of a given graph in the sampled graph. In this study, we provide a comprehensive empirical char
Externí odkaz:
http://arxiv.org/abs/2102.07980
Publikováno v:
World Journal of Engineering, 2021, Vol. 20, Issue 3, pp. 389-398.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/WJE-03-2021-0144