Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Zulfiqar Hussain Pathan"'
Publikováno v:
JISR on Computing, Vol 22, Iss 1 (2024)
The detection and diagnosis of brain tumors using conventional methods have enormous limitations and ambiguities. Purpose of this study is to identify Brain Tumor (BT) in CT scan by using emerging artificial intelligence paradigm i.e deep learning mo
Externí odkaz:
https://doaj.org/article/c9de7696dc2f4334bed067ab56efbac2
Autor:
Zulfiqar Hussain Pathan, Muhammad YaqoobKoondhar, Sadaf Solangi, Mansoor Hyder Depar, Zeeshan Magsi, Fazul-ul-din Memon
Publikováno v:
2020 IEEE 7th International Conference on Engineering Technologies and Applied Sciences (ICETAS).
The focus of this study is to evaluate the performance and analysis of Transmission Control Protocol (TCP) implementation in various operating systems. In this global and competitive era different operating system and emerging efficient protocols hav
Autor:
Mansoor Hyder Depar, Zeeshan Magsi, Zulfiqar Hussain Pathan, Fazul-ul-din Memon, Sadaf Solangi, M. Y. Koondhar
Publikováno v:
2020 IEEE 7th International Conference on Engineering Technologies and Applied Sciences (ICETAS).
Nowadays, transformation of physical machine-based infrastructure into virtual based system is one of the emerging technologies and a challenging task. In addition to that converged infrastructures obtained much attention in order to maintain the bus
Autor:
Zahid Latif, Yang mengke, null Danish, Shahid Latif, Liu Ximei, Zulfiqar Hussain Pathan, Shafaq Salam, Zeng Jianqiu
Publikováno v:
Telematics and Informatics. 35:318-328
In the modern era of globalization, information and communication technology (ICT) are considered key sectors that profoundly contribute to economic growth. Most of the economic activities, trade, and foreign direct investment are mainly dependent on
Autor:
Nasir Jan, Danish Khan, Zulfiqar Hussain Pathan, Wen Xin, Kahif Iqbal, Shafaq Salam, Zahid Latif
Publikováno v:
Human Systems Management. 36:353-362
Autor:
Zulfiqar Hussain Pathan, Zahid Latif, Umair Akram, Zeng Jianqiu, Muhammad Kaleem Khan, M. Zahid Tunio
Publikováno v:
Human Systems Management. 36:261-275
Autor:
Shafaq Salam, Zahid Latif, Zulfiqar Hussain Pathan, Muhammad Zahid Tunio, Nasir Jan, Zeng Jianqiu
Publikováno v:
Human Systems Management. 36:341-352
Publikováno v:
Multimedia Tools and Applications. 78:27127-27153
This paper presents an innovative technique to find out the most influential challenge faced by big data. Presently, the key challenges faced by big data are security, privacy, and accuracy. To prioritize the most influential factor among the three,
Publikováno v:
Human Systems Management. 36:211-219
Autor:
M. Zahid Tunio, Umair Akram, Zahid Latif, Zulfiqar Hussain Pathan, Muhammad Kaleem Khan, Zeng Jianqiu
Publikováno v:
Human Systems Management. 36:197-209