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21
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Neverov A.
, Krivorotko O.
Numerical Modelling of Mean-Field Game Epidemic
В сборнике
Optimization and Applications : 14th International Conference, OPTIMA 2023, Petrovac, Montenegro, September 18–22, 2023, Revised Selected Papers.
– Springer.,
2023.
– C.207-217. – ISBN 9783031478598. DOI: 10.1007/978-3-031-47859-8_15
Scopus
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22
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Криворотько О.И.
, Кабанихин С.И.
, Бектемесов М.А.
, Сосновская М.И.
, Неверов А.В.
Моделирование сценариев распространения COVID-19 в Республике Казахстан на основе регуляризации агентной модели
Дискретный анализ и исследование операций. 2023.
Т.30. №1. С.40-66. DOI: 10.33048/daio.2023.30.746
РИНЦ
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23
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Krivorotko O.I.
, Zyatkov N.Y.
, Kabanikhin S.I.
Modeling Epidemics: Neural Network Based on Data and SIR-Model
Computational Mathematics and Mathematical Physics. 2023.
V.63. N10. P.1929-1941. DOI: 10.1134/s096554252310007x
WOS
Scopus
РИНЦ
OpenAlex
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24
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Криворотько О.И.
, Кабанихин С.И.
О математическом моделировании COVID-19
Сибирские электронные математические известия (Siberian Electronic Mathematical Reports). 2023.
Т.20. №2. С.1211-1268. DOI: 10.33048/semi.2023.20.075
WOS
Scopus
РИНЦ
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25
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Krivorotko O.
, Zyatkov N.
Modeling of the COVID-19 epidemic in the Russian regions based on deep learning
В сборнике
2023 5th International Conference on Problems of Cybernetics and Informatics (PCI).
– IEEE.,
2023.
– C.1-5. – ISBN 979-8-3503-1907-1. DOI: 10.1109/PCI60110.2023.10325993
Scopus
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26
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Petrakova V.
, Krivorotko O.
, Neverov A.
Review of the Mean Field Models for Predicting the Spread of Viral Infections
В сборнике
Труды 2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB).
– IEEE.,
2023.
– C.45-50. DOI: 10.1109/csgb60362.2023.10329859
Scopus
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27
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Akindinov G.
, Krivorotko O.
, Matyukhin V.
Numerical Solution of an Inverse Problem for a General Hyperbolic Heat Equation
В сборнике
Optimization and Applications : 14th International Conference, OPTIMA 2023, Petrovac, Montenegro, September 18–22, 2023, Revised Selected Papers.
– Springer.,
2023.
– C.47-60. – ISBN 9783031478598. DOI: 10.1007/978-3-031-48751-4_4
Scopus
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28
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Petrakova V.
, Krivorotko O.
Mean field game for modeling of COVID-19 spread
Journal of Mathematical Analysis and Applications. 2022.
V.514. N1. 126271
:1-20. DOI: 10.1016/j.jmaa.2022.126271
WOS
Scopus
РИНЦ
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29
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Krivorotko O.I.
, Zyatkov N.Y.
Data-driven regularization of inverse problem for SEIR-HCD model of covid-19 propagation in Novosibirsk region
Eurasian Journal of Mathematical and Computer Applications. 2022.
V.10. N1. P.51-68. DOI: 10.32523/2306-6172-2022-10-1-51-68
WOS
Scopus
РИНЦ
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30
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Zvonareva T.A.
, Krivorot’ko O.I.
Comparative Analysis of Gradient Methods for Source Identification in a Diffusion-Logistic Model
Computational Mathematics and Mathematical Physics. 2022.
V.62. N4. P.674-684. DOI: 10.1134/s0965542522040145
WOS
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РИНЦ
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31
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Звонарева Т.А.
, Криворотько О.И.
Сравнительный анализ градиентных методов определения источника диффузионно-логистической модели
Журнал вычислительной математики и математической физики. 2022.
Т.62. №4. С.694-704. DOI: 10.31857/S0044466922040147
РИНЦ
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32
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Krivorotko O.
, Sosnovskaia M.
, Vashchenko I.
, Kerr C.
, Lesnic D.
Agent-based modeling of COVID-19 outbreaks for New York state and UK: Parameter identification algorithm
Infectious Disease Modelling. 2021.
V.7. N1. P.30-44. DOI: 10.1016/j.idm.2021.11.004
WOS
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33
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Kabanikhin S.
, Bektemesov M.
, Krivorotko O.
, Bektemessov Z.
Practical identifiability of mathematical models of biomedical processes
Journal of Physics: Conference Series. 2021.
V.2092. N1. P.012014. DOI: 10.1088/1742-6596/2092/1/012014
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34
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Krivorotko O.
, Andornaya D.
Sensitivity analysis and practical identifiability of the mathematical model for partial differential equations
Journal of Physics: Conference Series. 2021.
V.2092. N1. P.012012. DOI: 10.1088/1742-6596/2092/1/012012
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35
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Krivorotko O.
, Zvonareva T.
, Zyatkov N.
Numerical Solution of the Inverse Problem for Diffusion-Logistic Model Arising in Online Social Networks
Communications in Computer and Information Science. 2021.
P.444-459. DOI: 10.1007/978-3-030-86433-0_31
Scopus
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36
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Krivorotko O.I.
, Kabanikhin S.I.
, Sosnovskaya M.I.
, Andornaya D.V.
Sensitivity and identifiability analysis of COVID-19 pandemic models
Вавиловский журнал генетики и селекции. 2021.
V.25. N1. P.82-91. DOI: 10.18699/vj21.010
WOS
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37
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Kabanikhin S.
, Krivorotko O.
, Takuadina A.
, Andornaya D.
, Zhang S.
Geo-information system of tuberculosis spread based on inversion and prediction
Journal of Inverse and Ill-Posed Problems. 2020.
V.29. N1. P.65-79. DOI: 10.1515/jiip-2020-0022
WOS
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38
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Kabanikhin S.
, Krivorotko O.
, Bektemessov Z.
, Bektemessov M.
, Zhang S.
Differential evolution algorithm of solving an inverse problem for the spatial Solow mathematical model
Journal of Inverse and Ill-Posed Problems. 2020.
V.28. N5. P.761-774. DOI: 10.1515/jiip-2020-0108
WOS
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39
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Krivorotʹko O.I.
, Kabanikhin S.I.
, Zyatkov N.Y.
, Приходько А.Ю.
, Прохошин Н.М.
, Shishlenin M.A.
Mathematical modeling and forecasting of COVID-19 in Moscow and Novosibirsk region
Сибирский журнал вычислительной математики. 2020.
N4. P.395-414. DOI: 10.15372/sjnm20200404
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40
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Кабанихин С.И.
, Криворотько О.И.
Математическое моделирование эпидемии Уханьского коронавируса COVID-2019 и обратные задачи
Журнал вычислительной математики и математической физики. 2020.
V.60. N11. P.1950-1961. DOI: 10.31857/s004446692011006x
OpenAlex
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