Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Tuğba Akman"'
Publikováno v:
Aerospace, Vol 11, Iss 8, p 640 (2024)
Trajectory optimization is an essential tool for the high-fidelity planning of missions in aerospace engineering in order to increase their safety. Robust optimal control methods are utilized in the present study to address environmental or system un
Externí odkaz:
https://doaj.org/article/ee5b6936d69d49e693a0c6fa6c839209
Autor:
Tuğba Akman, Serap Altuntaş
Publikováno v:
Sağlık ve Hemşirelik Yönetimi Dergisi, Vol 9, Iss 2, Pp 239-249 (2022)
Aim: This study aims to determine how nurses' perceptions of diversity management influence their organizational happiness. Method: A descriptive, cross-sectional, and relational design was used in this study. The research was carried out between Nov
Externí odkaz:
https://doaj.org/article/3754275af2364977b6cafe32a715c7ad
Autor:
Tuğba Akman Yıldız
Publikováno v:
Frontiers in Physics, Vol 7 (2019)
In this work, we extend a mathematical model, which has been proposed for susceptible and infected compartments together with pathogen population, by including recovered subgroup. It is known that environmental pollution, such as contaminated drinkin
Externí odkaz:
https://doaj.org/article/598b20f3463b4bc6b487bc21ef32790e
Autor:
Tuğba Akman Yıldız
Publikováno v:
An International Journal of Optimization and Control: Theories & Applications, Vol 9, Iss 3 (2019)
The aim of this paper is to investigate some optimal control strategies for a generalized tuberculosis model consisting of four compartments. We construct the model with the use of Caputo time fractional derivative. Contribution of distancing control
Externí odkaz:
https://doaj.org/article/08ccc3cdaa0c457bae869365e2b66193
Publikováno v:
Applied Mathematics and Computation, 347, 194-209, 2019
Minimization of energy in gradient systems leads to formation of oscillatory and Turing patterns in reaction-diffusion systems. These patterns should be accurately computed using fine space and time meshes over long time horizons to reach the spatial
Externí odkaz:
http://arxiv.org/abs/1806.05625
This work presents a new mathematical model to depict the effect of obesity on cancerous tumor growth when chemotherapy as well as immunotherapy have been administered. We consider an optimal control problem to destroy the tumor population and minimi
Externí odkaz:
http://arxiv.org/abs/1804.06259
Publikováno v:
Journal of Biological Systems. 29:799-822
Of all cancers, pancreatic cancer has a significantly low rate of survival, mostly due to lack of early screening. Thus, once detected, pancreatic cancer is usually in later stages, reducing the likelihood of full recovery. The most common treatment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83eaebb415835ee6b00850a43cfe48d7
https://doi.org/10.1142/s0218339021500182
https://doi.org/10.1142/s0218339021500182
Autor:
Yıldız, Tuğba Akman1 takman@thk.edu.tr
Publikováno v:
Bilecik Seyh Edebali University Journal of Science / Bilecik Şeyh Edebali Üniversitesi Sosyal Bilimler Dergisi. 2020, Vol. 7 Issue 2, p609-620. 12p.
Autor:
Tuğba Akman Yıldız
Publikováno v:
Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi. 7:609-620
In this study, a four-dimensional model [29] that is given for interactions between nutrient, healthy cells, tumor cells, and oncolytic virus, is extended with a five-dimensional ordinary differential equations system. Infected tumor cells are includ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22f29cd3684fef6cc9f167ff2f9597cb
https://doi.org/10.35193/bseufbd.595527
https://doi.org/10.35193/bseufbd.595527
Publikováno v:
Discrete & Continuous Dynamical Systems - S. 13:407-428
This paper deals with a new formulation of time fractional optimal control problems governed by Caputo-Fabrizio (CF) fractional derivative. The optimality system for this problem is derived, which contains the forward and backward fractional differen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bea0e26c1a1cb895fa8034b71dfdcc9
https://doi.org/10.3934/dcdss.2020023
https://doi.org/10.3934/dcdss.2020023