Zobrazeno 1 - 10
of 170
pro vyhledávání: '"GHAFOOR, Kayhan Zrar"'
Autor:
Karim, Seemab, Qureshi, Kashif Naseer, Ibrahim, Ashraf Osman, Abulfaraj, Anas W., Ghafoor, Kayhan Zrar
Publikováno v:
In Journal of King Saud University - Computer and Information Sciences June 2024 36(5)
The emergence of novel COVID-19 causing an overload in health system and high mortality rate. The key priority is to contain the epidemic and prevent the infection rate. In this context, many countries are now in some degree of lockdown to ensure ext
Externí odkaz:
http://arxiv.org/abs/2004.12240
Autor:
Maghdid, Halgurd S., Asaad, Aras T., Ghafoor, Kayhan Zrar, Sadiq, Ali Safaa, Khan, Muhammad Khurram
COVID-19 (also known as 2019 Novel Coronavirus) first emerged in Wuhan, China and spread across the globe with unprecedented effect and has now become the greatest crisis of the modern era. The COVID-19 has proved much more pervasive demands for diag
Externí odkaz:
http://arxiv.org/abs/2004.00038
Autor:
Maghdid, Halgurd S., Ghafoor, Kayhan Zrar, Sadiq, Ali Safaa, Curran, Kevin, Rawat, Danda B., Rabie, Khaled
Coronaviruses are a famous family of viruses that cause illness in both humans and animals. The new type of coronavirus COVID-19 was firstly discovered in Wuhan, China. However, recently, the virus has widely spread in most of the world and causing a
Externí odkaz:
http://arxiv.org/abs/2003.07434
Publikováno v:
In Microprocessors and Microsystems February 2023 96
Publikováno v:
Journal of Intelligent Systems, Vol 31, Iss 1, Pp 1150-1159 (2022)
This article mitigates the challenges of previously reported literature by reducing the operating cost and improving the performance of network. A genetic algorithm-based tabu search methodology is proposed to solve the link capacity and traffic allo
Externí odkaz:
https://doaj.org/article/3826907dcfce4a0ca48df6954a945070
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Nonlinear Engineering, Vol 11, Iss 1, Pp 387-394 (2022)
This article addresses the challenge of large error rate and low accuracy of the vibration signal collection of mechanical equipment failure, and proposes a mechanical equipment failure vibration signal collection and analysis based on computer simul
Externí odkaz:
https://doaj.org/article/e81acdd17e874782867d6b6917a44290
Publikováno v:
Journal of Intelligent Systems, Vol 31, Iss 1, Pp 651-659 (2022)
The topology optimization of computer communication network is studied based on improved genetic algorithm (GA), a network optimization design model based on the establishment of network reliability maximization under given cost constraints, and the
Externí odkaz:
https://doaj.org/article/34ffb4cc90904f3380df5126dd980df9
Publikováno v:
In Computer Communications 1 September 2022 193:302-331