COBISS Kooperativni online bibliografski sistem in servisi COBISS
Ilona Nagy
Osebna bibliografija za obdobje 2018-2024
2018
1.
DREXLER, Dániel András, NAGY, Ilona, ROMANOVSKI, Valery, TÓTH, János, KOVÁCS, Levente.
Qualitative analysis of a closed-loop model of tumor growth control. V: CINTI 2018 : proceedings. 18th International Symposium on Computational Intelligence and Informatics, 21.
- 22. 11. 2018, Budapest. Piscataway: IEEE = The Institute of Electrical and Electronics
Engineers, cop. 2018. Str. 329-334. ISBN 978-1-7281-1117-9. https://ieeexplore.ieee.org/document/8928208, DOI: 10.1109/CINTI.2018.8928208. [COBISS.SI-ID 33928451]
2020
2.
NAGY, Ilona, ROMANOVSKI, Valery, TÓTH, János. Two nested limit cycles in two-species
reactions. Mathematics. 25 Sept. 2020, vol. 8, no. 10, str. 1-16. ISSN 2227-7390. DOI: 10.3390/math8101658. [COBISS.SI-ID 32061699]
2021
3.
DREXLER, Dániel András, NAGY, Ilona, ROMANOVSKI, Valery. Bifurcations in a closed-loop
model of tumor growth control. V: 21st IEEE International Symposium on Computational Intelligence and Informatics :
proceedings : November 18-20 2021, Budapest, Hungary. Piscataway: IEEE = The Institute of Electrical and Electronics Engineers, cop. 2021.
Str. 37-42. ISBN 978-1-6654-2684-8, ISBN 978-1-6654-2683-1. DOI: 10.1109/CINTI53070.2021.9668407. [COBISS.SI-ID 95674115]
2024
4.
DE GAETANO, Andrea, NAGY, Ilona, KISS, Daniel, ROMANOVSKI, Valery. A simplified longitudinal
model for the development of Type 2 Diabetes Mellitus. Journal of theoretical biology. June 2024, vol. 587, [article no.] 111822, 17 str., ilustr. ISSN 0022-5193. Digitalna knjižnica Univerze v Mariboru – DKUM, DOI: 10.1016/j.jtbi.2024.111822. [COBISS.SI-ID 195458307]
5.
DREXLER, Dániel András, NAGY, Ilona, ROMANOVSKI, Valery. Stability analysis of the
singular points and Hopf bifurcations of a tumor growth control model. Mathematical methods in the applied sciences. 15 May 2024, vol. 47, iss. 7, str. 5677-5691. ISSN 1099-1476. https://dk.um.si/IzpisGradiva.php?id=89788, Digitalna knjižnica Univerze v Mariboru – DKUM, DOI: 10.1002/mma.9885. [COBISS.SI-ID 184526595]
projekt: Project No. 2019-1.3.1-KK-2019-00007 has been implemented with the support provided from the National Research,Development and Innovation Fund of Hungary, financed under the 2019-1.3.1-KK funding scheme. This researchwas supported partially by Horizon2020-2017-RISE-777911 project. This project has been supported by theHungarian National Research, Development and Innovation Fund of Hungary, financed under the TKP2021-NKTA-36funding scheme. The work of Dr. Dániel András Drexler was supported by the Starting Excellence Researcher Programof Óbuda University, Budapest, Hungary. Valery G. Romanovski acknowledges the support by the Slovenian ResearchAgency (program P1-0306 and project BI-HU/19-20-002) and Grant AP09260317 “Development of an intelligent systemfor assessing the development of COVID-19 epidemics and other infections in Kazakhstan” of Al-Farabi Kazakh NationalUniversity.
projekt: Project No. 2019-1.3.1-KK-2019-00007 has been implemented with the support provided from the National Research,Development and Innovation Fund of Hungary, financed under the 2019-1.3.1-KK funding scheme. This researchwas supported partially by Horizon2020-2017-RISE-777911 project. This project has been supported by theHungarian National Research, Development and Innovation Fund of Hungary, financed under the TKP2021-NKTA-36funding scheme. The work of Dr. Dániel András Drexler was supported by the Starting Excellence Researcher Programof Óbuda University, Budapest, Hungary. Valery G. Romanovski acknowledges the support by the Slovenian ResearchAgency (program P1-0306 and project BI-HU/19-20-002) and Grant AP09260317 “Development of an intelligent systemfor assessing the development of COVID-19 epidemics and other infections in Kazakhstan” of Al-Farabi Kazakh NationalUniversity.