Scopus İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/8651
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Erratum Retraction Notice to “The Molecular Dynamics Study of Atomic Structure Behavior of LL-37 Peptide as the Antimicrobial Agent, Derived from the Human Cathelicidin, inside a Nano Domain Filled by the Aqueous Environment”(Elsevier B.V., 2026) Baleanu, Dumitru; Liu, Xinglong; Abu-Hamdeh, Nidal H.; Li, Zhixiong; Othman, Ahmad Razi; Abusorrah, Abdullah M.; Karimipour, ArashEditorial Preface(de Gruyter, 2019) Baleanu, Dumitru; Lopes, António Mendes; Hristov, Jordan; Anastassiou, George A.; Karapınar, Erdal; Salim, Abdelkrim; Benchohra, Mouffak; Singh, Jagdev; Cattani, Carlo; Kumar, Devendra; Dutta, Hemen; Lazreg, Jamal EddineEditorial Preface(de Gruyter, 2019) Baleanu, Dumitru; Lopes, António MendesArticle Population Dynamic Caused by War Involvement via Fractional Derivative on Time Scales(Inderscience Publishers, 2019) Baleanu, Dumitru; Agheli, Bahram; Neamaty, Abdolali; Nategh, MehdiArticle Exact Solution for Nonlinear Local Fractional Partial Differential Equations(Shahid Chamran University of Ahvaz, 2020) Ziane, Djelloul; Baleanu, Dumitru; Cherif, Mountassir Hamdi; Belghaba, KacemArticle Effects of Non-Linear Thermal Radiation and Chemical Reaction on Time Dependent Flow of Williamson Nanofluid With Combine Electrical MHD and Activation Energy(Shahid Chamran University of Ahvaz, 2021) Waqas, Hassan; Imran, M.; Danish, Gulzar Ahmad; Asjad, M.I.; Akgül, Ali; Baleanu, Dumitru; Tahir, MadeehaArticle Citation - Scopus: 18Role of Magnetic Field on the Dynamical Analysis of Second Grade Fluid: An Optimal Solution Subject to Non-Integer Differentiable Operators(Shahid Chamran University of Ahvaz, 2021) Baleanu, Dumitru; Riaz, Muhammad Bilal; Saeed, Syed TauseefEditorial Preface(Springer Nature, 2022) Agarwal, Ravi P.; Karapınar, Erdal; Burcu Özdemir Sarı, Ö.; Caner, Alp; Chen, Yangquan; Gazi, Orhan; Mahmoud, Khaled; Salim, Abdelkrim; Gülkan, Polat; Machado, José António Tenreiro; Kumar, Devendra; Lazreg, Jamal Eddine; Dutta, Hemen; Özdemir, Suna S.; Hristov, Jordan; Momani, Shaher; Purohit, Sunil Dutt; Anastassiou, George A.; Uzun, Nil; Baleanu, Dumitru; Benchohra, Mouffak; Singh, Jagdev; Cattani, Carlo; Agarwal, PraveenArticle Citation - Scopus: 22Heat and Mass Transfer of Natural Convective Flow with Slanted Magnetic Field via Fractional Operators(Shahid Chamran University of Ahvaz, 2021) Baleanu, Dumitru; Iftikha, Nazishr; Riaz, Muhammad Bilal; Husnine, Syed MuhammadArticle A Meta-Heuristic Stochastic Algorithm for the Numerical Treatment of Cancer Model through the Chemotherapy and Stem Cells(Elsevier, 2026) Baleanu, Dumitru; Defterli, Ozlem; Sabir, Zulqurnain; Abdelkawy, M. A.Objective: The aim of current research is to present the numerical performances of the cancer treatment model based on chemotherapy and stem cells using one of the heuristic computing neural network procedures. The cancer treatment model through chemotherapy and stem cells is categorized into stem cells, affected cells, tumor cells, and chemotherapy-based concentration drug. Method: A process of artificial neural network is applied using the hybrid optimization of global and local search schemes, which are taken as genetic algorithm (GA) and an active set (AS). An error-based fitness function is designed by using the differential model and then optimized by the hybridization of both global and local search schemes. GA is applied to exploit the global result and give a primary guess to the AS that further improves the results locally. AS is rooted in the GA, where GA produces new populaces and AS optimizes the fitness function for every individual. The hybridization of these two schemes is used iteratively for purifying the results. Ten numbers of neurons and log-sigmoid activation functions has been used to solve the cancer treatment model based on chemotherapy and stem cells. Results: For the correctness of the stochastic solver, the obtained numerical results have been compared with any traditional scheme. Moreover, the reliability and capability of the scheme are performed through the absolute error around 10-05 to 10-07 along with different statistical approaches for solving the mathematical model. Novelty: The proposed artificial neural network structure along with the hybrid optimization of global and local search schemes has never been implemented before to solve the cancer treatment model based on chemotherapy and stem cells.
