Z
Zareen A. Khan
Researcher at Princess Nora bint Abdul Rahman University
Publications - 76
Citations - 749
Zareen A. Khan is an academic researcher from Princess Nora bint Abdul Rahman University. The author has contributed to research in topics: Fractional calculus & Computer science. The author has an hindex of 9, co-authored 44 publications receiving 342 citations. Previous affiliations of Zareen A. Khan include University of Malakand.
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Association of Jensen’s inequality for s-convex function with Csiszár divergence
Muhammad Adil Khan,Muhammad Adil Khan,Muhammad Hanif,Zareen A. Khan,Khurshid Ahmad,Yu-Ming Chu +5 more
TL;DR: In this paper, the authors established an inequality for Csiszar divergence associated with s-convex functions, and presented several inequalities for Kullback-Leibler, Renyi, Hellinger, Chi-square, Jeffery's, and variational distance divergences.
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Hermite-Hadamard-Fejér Inequalities for Conformable Fractional Integrals via Preinvex Functions
TL;DR: In this article, a Hermite-Hadamard-Fejer inequality for conformable fractional integrals by using symmetric preinvex functions is presented, and the identity associated with the right hand side of the Hermite Hadamard inequality is established.
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Computational and theoretical modeling of the transmission dynamics of novel COVID-19 under Mittag-Leffler Power Law
TL;DR: In this paper, a fractional order epidemic model was proposed to describe the dynamics of COVID-19 under nonsingular kernel type of fractional derivative. And the existence of the model using the fixed point theorem of Banach and Krasnoselskii's type was discussed.
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Haar wavelet collocation approach for the solution of fractional order COVID-19 model using Caputo derivative
TL;DR: In this paper, a compartmental mathematical model for the transmission dynamics of the novel Coronavirus-19 under Caputo fractional order derivative was proposed by using fixed point theory of Schauder's and Banach and established some necessary conditions for existence of at least one solution to model under investigation and its uniqueness.
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Integral Majorization Type Inequalities for the Functions in the Sense of Strong Convexity
TL;DR: In this paper, the authors established several integral majorization type and generalized Favard inequalities for the class of strongly convex functions, which generalize and improve the previous known results.