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Ilknur Koca
Researcher at Mehmet Akif Ersoy University
Publications - 37
Citations - 1348
Ilknur Koca is an academic researcher from Mehmet Akif Ersoy University. The author has contributed to research in topics: Fractional calculus & Nonlinear system. The author has an hindex of 13, co-authored 32 publications receiving 1064 citations. Previous affiliations of Ilknur Koca include University of Gaziantep.
Papers
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Chaos in a simple nonlinear system with Atangana-Baleanu derivatives with fractional order
Abdon Atangana,Ilknur Koca +1 more
TL;DR: In this paper, Atangana and Baleanu proposed a derivative with fractional order to answer some outstanding questions that were posed by many researchers within the field of fractional calculus.
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On the new fractional derivative and application to nonlinear Baggs and Freedman model
Abdon Atangana,Ilknur Koca +1 more
TL;DR: In this paper, the authors presented the nonlinear Baggs and Freedman model with new fractional derivative and derived the special solution using an iterative method using the fixed point theory.
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Modelling the spread of Ebola virus with Atangana-Baleanu fractional operators
TL;DR: The model of Ebola spread within a targeted population is extended to the concept of fractional differentiation and integration with non-local and non-singular fading memory introduced by Atangana and Baleanu to show better approximation than the models established before.
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Solutions of Cattaneo-Hristov model of elastic heat diffusion with Caputo-Fabrizio and Atangana-Baleanu fractional derivatives
Ilknur Koca,Abdon Atangana +1 more
TL;DR: In this paper, the Cattaneo-Hristov model was extended by the concept of a derivative with non-local and non-singular kernel by using the Atangana-Baleanu derivative.
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Analysis of rubella disease model with non-local and non-singular fractional derivatives
TL;DR: In this article, the authors investigated the applicability of the newly established fractional differentiation in the field of epidemiology and extended the model describing the Rubella spread by replacing the time derivative with the time fractional derivative for the inclusion of memory.