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Comparative study of linear regression and sir models of covid-19 propagation in Ukraine before vaccination
(ХАІ, 2021)
The study aims to develop machine learning and compartment models of COVID-19 epidemic process and to investigate experimental results of simulation. The object of research is COVID-19 epidemic process and its dynamics in ...
Impact of war on COVID-19 pandemic in Ukraine: the simulation study
(ХАІ, 2022)
This article describes experimental studies of implementing the COVID-19 epidemic pro-cess model in Ukraine based on the polynomial regression method. The constructed model was sufficiently ac-curate in deciding on ...
The engineering skills training process modeling using dynamic Bayesian nets
(ХАІ, 2021)
The subject of research in the article is the process of intelligent computer training in engineering skills. The aim is to model the process of teaching engineering skills in intelligent computer training programs through ...
On COVID-19 epidemic process simulation: three regression approaches investigations
(ХАІ, 2022)
This paper describes experimental research on implementing three regression models of the COVID-19 epidemic process. These are models of linear regression, Ridge regression, and Lasso regression. COVID-19 daily new cases ...
Simulation and forecasting of the influenza epidemic process using seasonal autoregressive integrated moving average model
(ХАІ, 2021)
The study aims to develop a seasonal autoregressive integrated moving average (SARIMA) model for influenza epidemic process simulation and to investigate the experimental results of the simulation. The work is targeted at ...
Barriers of COVID-19 vaccination in ukraine during the war: the simulation study using arima model
(ХАІ, 2022)
The purpose of the study is to develop a model of vaccination against COVID-19 in Ukraine and to study the impact of war on this process. The research is multidisciplinary and includes a sociological study of the attitude ...