Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Muhammad Ali Ismail"'
Publikováno v:
Journal of Water and Climate Change, Vol 13, Iss 2, Pp 557-573 (2022)
The sustainability of the hydrological and ecological ecosystems of any region requires continuous monitoring of the water bodies. Recent advancements in satellite-based remote optical sensors, big data analysis and cloud computing have given new dim
Externí odkaz:
https://doaj.org/article/8073c8c568a142e5ad8e1cc9b28e97fb
Publikováno v:
Reviews of Management Sciences, Vol 4, Iss 1 (2022)
Purpose: The purpose of this paper is to predict the volatility of the KSE-100 index using econometric and machine learning models. It also designs hybrid models for volatility forecasting by combining these two models in three different ways. Me
Externí odkaz:
https://doaj.org/article/7deb8c02881a436fb4bcdada040ad528
Publikováno v:
IEEE Access, Vol 9, Pp 21881-21894 (2021)
Moving Target Defense (MTD) is an emerging proactive Cyber Security approach. MTD constantly changes the attack surface for making cyber-attacks difficult for the invaders. Software Defined Networking(SDN) provides dynamic network design capabilities
Externí odkaz:
https://doaj.org/article/c070becb6fd54fa7b376ffce8cb156d2
Autor:
Hameeza Ahmed, Muhammad Ali Ismail
Publikováno v:
IEEE Access, Vol 8, Pp 186304-186322 (2020)
Big data is a ”relative” concept. It is the combination of data, application, and platform properties. Recently, big data specific technologies have emerged, including software frameworks, databases, hardware accelerators, storage technologies, e
Externí odkaz:
https://doaj.org/article/100f9abba8e14ff8b1a37dd999c994b8
Publikováno v:
International Journal of Molecular Sciences, Vol 22, Iss 12, p 6494 (2021)
The use of experimental relations to approximate the efficient thermophysical properties of a nanofluid (NF) with Cu nanoparticles (NPs) and hybrid nanofluid (HNF) with Cu-SWCNT NPs and subsequently model the two-dimensional pulsatile Casson fluid fl
Externí odkaz:
https://doaj.org/article/c8cdbfb6c7b445188d705d6d1d9a024c
Autor:
Hameeza Ahmed, Muhammad Ali Ismail
Publikováno v:
IEEE Transactions on Big Data. 9:147-159
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b68efba5a55858f09b63b4e544059cde
https://doi.org/10.1109/tbdata.2021.3139069
https://doi.org/10.1109/tbdata.2021.3139069
Autor:
Syed Zaffar Qasim, Muhammad Ali Ismail
Publikováno v:
Cluster Computing. 25:4151-4169
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::848f5f0226aeae2c180d9ca1f22cd4a4
https://doi.org/10.1007/s10586-022-03647-7
https://doi.org/10.1007/s10586-022-03647-7
Autor:
Syed Zaffar Qasim, Muhammad Ali Ismail
Many multiobjective optimization algorithms employ weight vectors for decomposing a problem into multiple subproblems by associating each subproblem with a single weight vector (WV). These weight vectors should be uniformly spread in the space so as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e131e07923b0f80d9bcca0957956fd04
https://doi.org/10.21203/rs.3.rs-2670308/v1
https://doi.org/10.21203/rs.3.rs-2670308/v1
Autor:
Afzal Ahmed, Syed Muhammad Noman, Mirza Asad Ullah Baig, Dong Ngoduy, Muhammad Adnan, Muhammad Ali Ismail, Adnan Qadir
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2676:209-220
A variety of methods have been proposed in the existing literature for the estimation of passenger car equivalent (PCE) factors. These methods are based on the comparison of selected attributes of different vehicles. This research, for the first time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2eb96df018992acdd278b09aa9c8f110
https://doi.org/10.1177/03611981221083289
https://doi.org/10.1177/03611981221083289
Autor:
Syed Zaffar Qasim, Muhammad Ali Ismail
Publikováno v:
Evolutionary Intelligence. 16:849-871
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8437d097037ec33cec4d57cd980b2d8
https://doi.org/10.1007/s12065-021-00698-4
https://doi.org/10.1007/s12065-021-00698-4