J
Jihen Majdoubi
Researcher at Majmaah University
Publications - 19
Citations - 220
Jihen Majdoubi is an academic researcher from Majmaah University. The author has contributed to research in topics: Thesaurus (information retrieval) & Search engine indexing. The author has an hindex of 6, co-authored 17 publications receiving 143 citations. Previous affiliations of Jihen Majdoubi include University of Sfax.
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Journal ArticleDOI
Significance of Arrhenius activation energy in flow and heat transfer of tangent hyperbolic fluid with zero mass flux condition
K. Ganesh Kumar,Abeer Baslem,B. C. Prasannakumara,Jihen Majdoubi,Mohammad Rahimi-Gorji,Sohail Nadeem +5 more
TL;DR: In this paper, the authors scrutinized the flow of tangent hyperbolic fluid over a moving stretched surface and derived the characteristics of heat transfer by utilizing nonlinear radiation and activation energy.
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Impact of Nonlinear Thermal Radiation and the Viscous Dissipation Effect on the Unsteady Three-Dimensional Rotating Flow of Single-Wall Carbon Nanotubes with Aqueous Suspensions
TL;DR: The aim of this article is to study time dependent rotating single-wall electrically conducting carbon nanotubes with aqueous suspensions under the influence of nonlinear thermal radiation in a permeable medium.
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A review study on blood in human coronary artery: Numerical approach.
TL;DR: The aim of this paper is to present an overview of all those work done by the researchers to justify their work related to factors which hampers proper functioning of heart and lead to Coronary Artery Disease (CAD).
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Photocatalytic activity and smartness of TiO2 nanotube arrays for room temperature acetone sensing
TL;DR: In this paper, photo-induced acetone sensing mechanism was studied for varying concentrations of acetone vapours from 10% to 50% in the absence and in the presence of light.
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Prediction of stenosis behaviour in artery by neural network and multiple linear regressions
J. Satya Eswari,Jihen Majdoubi,Sweta Naik,Sneha Gupta,Sneha Gupta,Arindam Bit,Mohammad Rahimi-Gorji,Anber Saleem +7 more
TL;DR: A regression analysis of variables using conventional statistical and neural network approach shows that the neural network model is more appropriate, because value of percentage of response variation of dependent variable is almost approaching unity as compared to statistical analysis.