K
Kamel Al-Khaled
Researcher at Jordan University of Science and Technology
Publications - 174
Citations - 2690
Kamel Al-Khaled is an academic researcher from Jordan University of Science and Technology. The author has contributed to research in topics: Nanofluid & Heat transfer. The author has an hindex of 24, co-authored 117 publications receiving 1719 citations. Previous affiliations of Kamel Al-Khaled include Yarmouk University & United Arab Emirates University.
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Numerical solutions for systems of fractional differential equations by the decomposition method
Shaher Momani,Kamel Al-Khaled +1 more
TL;DR: Adomian decomposition method is used to solve systems of nonlinear fractional differential equations and a linear multi-term fractionaldifferential equation by reducing it to a system of fractional equations each of order at most unity.
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Stability and Bifurcation Analysis of a Three-Species Food Chain Model with Delay
Nikhil Pal,Sudip Samanta,Saugata S. Biswas,Marwan Alquran,Marwan Alquran,Kamel Al-Khaled,Joydev Chattopadhyay +6 more
TL;DR: It is observed that fear can stabilize the system from chaos to stable focus through the period-halving phenomenon and conclude that chaotic dynamics can be controlled by the fear factors.
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Numerical study of Fisher's reaction–diffusion equation by the Sinc collocation method
TL;DR: In this article, the Sinc collocation method was used to approximate the equilibrium between linear diffusion and nonlinear reaction or multiplication in the case of Fisher's equation, where derivatives and integrals were replaced by the necessary matrices, and a system of algebraic equations was obtained to approximate solution of the problem.
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An approximate solution for a fractional diffusion-wave equation using the decomposition method
Kamel Al-Khaled,Shaher Momani +1 more
TL;DR: An approximate solution based on the decomposition method is given for the generalized fractional diffusion (diffusion-wave) equation and the fractional derivative is described in the Caputo sense.
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A generic model for a single strain mosquito-transmitted disease with memory on the host and the vector.
TL;DR: It is observed that the model with memory in both the host, and the vector population provides a better agreement with epidemic data, and is provided as a control strategy for the vector-borne disease, dengue, using the memory of the host and thevector.