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Ievgen Meniailov
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Journal Articles
- 2022
- [j3]Dmytro Chumachenko
, Ievgen Meniailov, Kseniia Bazilevych, Tetyana Chumachenko, Sergey Yakovlev
:
Investigation of Statistical Machine Learning Models for COVID-19 Epidemic Process Simulation: Random Forest, K-Nearest Neighbors, Gradient Boosting. Comput. 10(6): 86 (2022) - 2020
- [j2]Kateryna Ugryumova, Ievgen Meniailov, Iryna Trofymova, Mykhaylo Ugryumov, Andriy Myenyaylov:
Synthesis of robust Optimal control Program for axial Flow Compressor turning Guide vanes. Int. J. Comput. 19: 347-354 (2020) - 2018
- [j1]Kseniia Bazilevych, Mary Mazorchuk, Yurii Parfeniuk, Viktoriia Dobriak, Ievgen Meniailov, Dmytro Chumachenko:
Stochastic modelling of Cash Flow for Personal Insurance fund using the Cloud Data Storage. Int. J. Comput. 17: 153-162 (2018)
Conference and Workshop Papers
- 2023
- [c17]Dmytro Chumachenko, Vasyl Chomko, Ievgen Meniailov, Serhii Krivtsov, Halyna Padalko:
A Data-Driven Simulation of Ukrainian Refugee Flows Impact on COVID-19 Dynamics in the UK. IDDM 2023: 92-102 - [c16]Dmytro Chumachenko, Vasyl Chomko, Ievgen Meniailov, Serhii Krivtsov, Halyna Padalko:
Estimation of Ukrainian Refugees Impact on COVID-19 Dynamics in Czech Republic using Prophet Model. ProfIT AI 2023: 15-25 - [c15]Anastasiia Morozova, Liliia Bielova, Ievgen Meniailov:
Approaches to Organization of Change Tables for Real- Time Business Intelligence. ProfIT AI 2023: 96-106 - 2022
- [c14]Ievgen Meniailov, Serhii Krivtsov, Tetyana Chumachenko:
Dimensionality Reduction of Data on Patients with Diabetes Mellitus by Multidimensional Scaling. IDDM 2022: 184-191 - [c13]Dmytro Chumachenko
, Tetyana Chumachenko, Ievgen Meniailov, Olena Muradyan
, Grigoriy Zholtkevych
:
Forecasting of COVID-19 Epidemic Process in Ukraine and Neighboring Countries by Gradient Boosting Method. ITEST 2022: 503-514 - [c12]Ievgen Meniailov, Halyna Padalko:
Application of Multidimensional Scaling Model for Hepatitis C Data Dimensionality Reduction. ProfIT AI 2022: 34-43 - [c11]Serhii Krivtsov, Ievgen Meniailov, Kyryl Korobchynskyi:
Detection of Patients with Diabetes Mellitus using Density-Based Spatial Clustering of Applications with Noize. ProfIT AI 2022: 97-103 - 2021
- [c10]Dmytro Chumachenko
, Ievgen Meniailov, Kseniia Bazilevych, Tetyana Chumachenko
, Sergiy Yakovlev
:
On intelligent agent-based simulation of COVID-19 epidemic process in Ukraine. EUSPN/ICTH 2021: 706-711 - [c9]Tetiana Dudkina, Ievgen Meniailov, Kseniia Bazilevych, Serhii Krivtsov, Anton Tkachenko:
Classification and Prediction of Diabetes Disease using Decision Tree Method. IT&AS 2021: 163-172 - [c8]Olga Skitsan, Ievgen Meniailov, Kseniia Bazilevych, Halyna Padalko:
Evaluation of the Informative Features of Cardiac Studies Diagnostic Data using the Kullback Method. MoMLeT+DS 2021: 186-195 - [c7]Pavlo Pyrohov, Ievgen Meniailov:
Intelligent Decision-Making in Conditions of Uncertainty in Games with Nature. ProfIT AI 2021: 123-131 - 2020
- [c6]Ievgen Meniailov, Dmytro Chumachenko
, Kseniia Bazilevych:
Determination of Heart Disease Based on Analysis of Patient Statistics using the Fuzzy C-means Clustering Algorithm. DSMP 2020: 333-336 - [c5]Dmytro Chumachenko
, Tetyana Chumachenko
, Ievgen Meniailov
, Pavlo Pyrohov
, Ihor Kuzin
, Roman Rodyna
:
On-Line Data Processing, Simulation and Forecasting of the Coronavirus Disease (COVID-19) Propagation in Ukraine Based on Machine Learning Approach. DSMP (Selected Papers) 2020: 372-382 - [c4]Sergiy Yakovlev, Kseniia Bazilevych, Dmytro Chumachenko, Tetyana Chumachenko, Leonid Hulianytskyi, Ievgen Meniailov, Anton Tkachenko:
The Concept of Developing a Decision Support System for the Epidemic Morbidity Control. IDDM 2020: 265-274 - 2019
- [c3]Dmytro Chumachenko
, Ievgen Meniailov, Kseniia Bazilevych, Yuliia Kuznetsova, Tetyana Chumachenko
:
Development of an intelligent agent-based model of the epidemic process of syphilis. CSIT (1) 2019: 42-45 - [c2]Kseniia Bazilevych, Ievgen Meniailov, Kirill Fedulov, Sergey Goranina, Dmytro Chumachenko, Pavlo Pyrohov:
Determining the Probability of Heart Disease using Data Mining Methods. IDDM 2019: 383-394 - [c1]Ievgen Meniailov, Kseniia Bazilevych, Kirill Fedulov, Sergey Goranina, Dmytro Chumachenko:
Using the K-means Method for Diagnosing Cancer Stage Using the Pandas Library. MoMLeT 2019: 107-116
Coauthor Index
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