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Dmytro Chumachenko
Dmytro Chumachenko
National Aerospace University "Kharkiv Aviation Institute"
Подтвержден адрес электронной почты в домене khai.edu
Название
Процитировано
Процитировано
Год
A multinational Delphi consensus to end the COVID-19 public health threat
JV Lazarus, D Romero, CJ Kopka, SA Karim, LJ Abu-Raddad, G Almeida, ...
Nature 611 (7935), 332-345, 2022
1652022
The concept of developing a decision support system for the epidemic morbidity control
S Yakovlev, K Bazilevych, D Chumachenko, T Chumachenko, ...
782020
Computer aided system of time series analysis methods for forecasting the epidemics outbreaks
Y Polyvianna, D Chumachenko, T Chumachenko
2019 IEEE 15th International Conference on the Experience of Designing and …, 2019
722019
The human toll and humanitarian crisis of the Russia-Ukraine war: the first 162 days
U Haque, A Naeem, S Wang, J Espinoza, I Holovanova, T Gutor, ...
BMJ global health 7 (9), e009550, 2022
572022
Project-Oriented Management of Adaptive Commands Formation Resources in Multi-Project Environment
IC Nataliia Dotsenko, Dmytro Chumachenko
CEUR Workshops Proceedings 2353, 911-923, 2019
48*2019
On agent-based approach to influenza and acute respiratory virus infection simulation
D Chumachenko, V Dobriak, M Mazorchuk, I Meniailov, K Bazilevych
2018 14th International Conference on Advanced Trends in Radioelecrtronics …, 2018
472018
Stochastic modelling of cash flow for personal insurance fund using the cloud data storage
K Bazilevych, M Mazorchuk, Y Parfeniuk, V Dobriak, I Meniailov, ...
International Journal of Computing 17 (3), 153-162, 2018
442018
Intelligent agent-based simulation of HIV epidemic process
D Chumachenko, T Chumachenko
Lecture Notes in Computational Intelligence and Decision Making: Proceedings …, 2020
422020
Modeling of the processes of stakeholder involvement in command management in a multi-project environment
D Nataliia, C Dmytro, C Igor
2018 IEEE 13th International Scientific and Technical Conference on Computer …, 2018
412018
Investigation of statistical machine learning models for COVID-19 epidemic process simulation: Random forest, K-nearest neighbors, gradient boosting
D Chumachenko, I Meniailov, K Bazilevych, T Chumachenko, S Yakovlev
Computation 10 (6), 86, 2022
392022
Intelligent simulation of network worm propagation using the code red as an example
D Chumachenko, K Chumachenko, S Yakovlev
Telecommunications and Radio Engineering 78 (5), 2019
382019
Web-application development for tasks of prediction in medical domain
M Mazorchuck, V Dobriak, D Chumachenko
2018 IEEE 13th international scientific and technical conference on computer …, 2018
362018
On intelligent multiagent approach to viral hepatitis B epidemic processes simulation
D Chumachenko
2018 IEEE Second International Conference on Data Stream Mining & Processing …, 2018
362018
Intelligent expert system of knowledge examination of medical staff regarding infections associated with the provision of medical care
D Chumachenko, V Balitskii, T Chumachenko, V Makarova, M Railian
332019
Impact of war on the dynamics of COVID-19 in Ukraine
D Chumachenko, T Chumachenko
BMJ global health 7 (4), e009173, 2022
322022
On intelligent decision making in multiagent systems in conditions of uncertainty
D Chumachenko, I Meniailov, K Bazilevych, T Chumachenko
2019 XIth International Scientific and Practical Conference on Electronics …, 2019
322019
On-line data processing, simulation and forecasting of the coronavirus disease (COVID-19) propagation in Ukraine based on machine learning approach
D Chumachenko, T Chumachenko, I Meniailov, P Pyrohov, I Kuzin, ...
International Conference on Data Stream Mining and Processing, 372-382, 2020
302020
Ukraine war: the humanitarian crisis in Kharkiv
D Chumachenko, T Chumachenko
BMJ 376, 2022
292022
Development of an intelligent agent-based model of the epidemic process of syphilis
D Chumachenko, I Meniailov, K Bazilevych, Y Kuznetsova, ...
2019 IEEE 14th international conference on computer sciences and information …, 2019
282019
Using the K-means method for diagnosing cancer stage using the Pandas library
I Meniailov, K Bazilevych, K Fedulov, S Goranina
development 14, 15, 2019
232019
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Статьи 1–20