Application of ontologies and meta-models for dynamic integration of weakly structured data

A Berko, I Pelekh, L Chyrun, M Bublyk… - 2020 IEEE Third …, 2020 - ieeexplore.ieee.org
The possibilities of using ontologies and meta-models to create a system of dynamic
integration of weakly structured data are considered. The process of transformation of …

Game problem of assigning staff to project implementation

A Kowalska-Styczeń, P Kravets, V Lytvyn… - … in Management and …, 2023 - dmame-journal.org
This article describes how to solve the game problem of assigning staff to work on projects
based on the ontological approach. The stochastic game algorithm for colouring an …

[PDF][PDF] Analysis of the Demand for Bicycle Use in a Smart City Based on Machine Learning.

D Koshtura, M Bublyk, Y Matseliukh, D Dosyn… - MoMLeT+ DS, 2020 - academia.edu
The need to study the demand for bicycle sharing based on regression models of data
analysis and prediction of results was investigated. To substantiate possibility of work of the …

[PDF][PDF] Small-Batteries Utilization Analysis Based on Mathematical Statistics Methods in Challenges of Circular Economy.

M Bublyk, Y Matseliukh - COLINS, 2021 - ceur-ws.org
The paper contains an analysis of the possibilities of mathematical statistics as a section of
mathematics for solving the applied ecological and economic problem: utilization of small …

[PDF][PDF] Optimization Model of the Buses Number on the Route Based on Queueing Theory in a Smart City.

L Podlesna, M Bublyk, I Grybyk, Y Matseliukh… - MoMLeT+ DS, 2020 - academia.edu
The busload on the route is modeled, the main statistical characteristics of the process on
route number 10 were calculated, and the optimal number of buses on the route is …

[PDF][PDF] Forecasting the Risk of Cervical Cancer in Women in the Human Capital Development Context Using Machine Learning.

I Bodnar, M Bublyk, O Veres, O Lozynska, I Karpov… - MoMLeT+ DS, 2020 - ceur-ws.org
This work offers a model for predicting the risk of a particular disease in a particular patient.
This work is aimed at improving practical skills in implementing machine-learning methods …

Information resources analysis system of dynamic integration semi-structured data in a web environment

A Berko, I Pelekh, L Chyrun… - 2020 IEEE Third …, 2020 - ieeexplore.ieee.org
The article describes the procedure for analyzing information resources of the system of
dynamic integration of weakly structured data in the web-environment to determine the …

Design of a system for dynamic integration of weakly structured data based on mash-up technology

I Pelekh, A Berko, V Andrunyk… - 2020 IEEE Third …, 2020 - ieeexplore.ieee.org
The article describes the design of a system for dynamic integration of weakly structured
data using Mash-Up technology. Functional requirements to the system of dynamic data …

Markovian learning methods in decision-making systems

P Kravets, Y Burov, V Lytvyn, V Vysotska… - … “Intellectual Systems of …, 2021 - Springer
The optimal decision-making task based on the Markovian learning methods is investigated.
The stochastic and deterministic learning methods are described. The decision-making …

The rain prediction in Australia based Big Data analysis and machine learning technology

B Polishchuk, A Berko, L Chyrun… - 2021 IEEE 16th …, 2021 - ieeexplore.ieee.org
The Rain Prediction in Australia Based Big Data Analysis and Machine Learning Technology Page
1 97 978-1-6654-4257-2/21/$31.00 ©2021 The Rain Prediction in Australia Based Big Data …