Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Emad M. Ali"'
Autor:
Ahmed Halilu, Mohamed Kamel Hadj-Kali, Hanee Farzana Hizaddin, Mohd Ali Hashim, Emad M. Ali, Suresh Bhargava
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Deep eutectic electrolytes (DEEs) show promise for future electrochemical systems due to their adjustable buffer capacities. This study utilizes machine learning algorithms to analyse the carbon dioxide reduction reaction (CO2RR) in DEEs wit
Externí odkaz:
https://doaj.org/article/60fcd6139c194f32ab09a313b9fdc657
Publikováno v:
دراسات: العلوم التربوية, Vol 48, Iss 3 (2021)
To keep pace with the requirements of this technological era, this study aims to propose the idea of using e-portfolios to save and present information about students with disabilities in Jordanian special education institutions. The sample consis
Externí odkaz:
https://doaj.org/article/a577de5bb32a4db4895a3042fa9a5bcf
Autor:
Waheed A. Al-Masry, Emad M. Ali
Publikováno v:
Journal of King Saud University: Engineering Sciences, Vol 19, Iss 2, Pp 135-150 (2007)
In this paper, the influence of data sampling frequency and the inclusion of surface active agent on the flow pattern in bubble columns is investigated. The study is based on applying statistical, spectral and fractal metrics on recorder differential
Externí odkaz:
https://doaj.org/article/9582c832cc23409681745704e1f473d9
Autor:
Emad M. Ali, A.M. Abu Khalaf
Publikováno v:
Journal of King Saud University: Engineering Sciences, Vol 17, Iss 1, Pp 25-45 (2004)
This paper addresses the control problem of starting up a non-isothermal CSTR. The startup problem is of dual objectives. One objective is to fill up the tank and the other is to achieve certain reaction conversion. The two objectives compete with ea
Externí odkaz:
https://doaj.org/article/4b7f95e7d06342bfa4b4e17daa7534fd
Autor:
Emad M. Ali
Publikováno v:
Journal of King Saud University: Engineering Sciences, Vol 14, Iss 2, Pp 183-197 (2002)
Tuning of PI control algorithms for coupled multi input multi output (MIMO) systems is a challenging problem. This paper extends a previously developed model-based adaptive tuning method to handle the tuning problem of coupled multivariable systems.
Externí odkaz:
https://doaj.org/article/579fd34e19b94f059eb57d9df73026fe
Publikováno v:
ACS Omega. 7:14102-14112
Publikováno v:
ACS omega. 7(16)
Deep eutectic solvents (DESs) are efficient media for CO
Autor:
Ahmed Halilu, Mohamed Kamel Hadj-Kali, Mohd Ali Hashim, Hanee Farzana Hizaddin, Ahmad Alhadid, Liudmila Mokrushina, Emad M. Ali
Publikováno v:
SSRN Electronic Journal.