[PDF][PDF] The combined use of the wiener polynomial and SVM for material classification task in medical implants production

I Izonin, A Trostianchyn, Z Duriagina… - … Journal of Intelligent …, 2018 - mecs-press.org
This document presents two developed methods for solving the classification task of medical
implant materials based on the compatible use of the Wiener Polynomial and SVM. The high …

Methods of building intelligent decision support systems based on adaptive ontology

V Lytvyn, V Vysotska, D Dosyn… - 2018 IEEE Second …, 2018 - ieeexplore.ieee.org
The approach to the development of intelligent decision support systems using ontology
knowledge bases consisting of such systems in the article is considered. The classification …

The van der Pol physical reservoir computer

MREU Shougat, E Perkins - Neuromorphic Computing and …, 2023 - iopscience.iop.org
The van der Pol oscillator has historical and practical significance to spiking neural
networks. It was proposed as one of the first models for heart oscillations, and it has been …

[PDF][PDF] Method for ontology content and structure optimization, provided by a weighted conceptual graph.

V Lytvyn, V Vysotska, D Dosyn, Y Burov - Webology, 2018 - webology.org
The complex dynamic structure of the ontology and its content requires implementing of
optimization procedures to better ontology processing performance and resolve conflicts …

The mobile application development based on online music library for socializing in the world of bard songs and scouts' bonfires

B Rusyn, L Pohreliuk, A Rzheuskyi, R Kubik… - … on Computer Science …, 2019 - Springer
The aim of the current work is to create a mobile application that helps bard singers and
guitar players sing the same songs and play the same chords. The development of this …

The intellectual system development of distant competencies analyzing for IT recruitment

A Rzheuskyi, O Kutyuk, O Voloshyn… - … on Computer Science …, 2019 - Springer
AHP study methods of solving problems to use AHP comparing alternatives (TOPSIS) and
supervised learning algorithm using linear regression are proposed. To meet the challenges …

Missing data imputation through SGTM neural-like structure for environmental monitoring tasks

O Mishchuk, R Tkachenko, I Izonin - International Conference on …, 2019 - Springer
The article describes a new missing data imputation method. It is based on the use of a high-
speed neural-like structure of the Successive Geometric Transformations Model. The …

Information encryption based on the synthesis of a neural network and AES algorithm

V Lytvyn, I Peleshchak, R Peleshchak… - 2019 3rd International …, 2019 - ieeexplore.ieee.org
This paper proposes a system of information encryption based on the synthesis of a neural
network and AES (Advanced Encryption Standard (Rijndael)) algorithm. The encryption …

Intelligent system of a smart house

V Lytvyn, V Vysotska, V Mykhailyshyn… - 2019 3rd …, 2019 - ieeexplore.ieee.org
In the work intelligent system of a smart house is developed, which is designed to create
from any house, office, or building a smart room. The best solutions and tools were chosen …

[PDF][PDF] Piecewise-linear Approach for Medical Insurance Costs Prediction using SGTM Neural-Like Structure.

R Tkachenko, I Izonin, N Kryvinska, V Chopyak… - IDDM, 2018 - ceur-ws.org
The article proposes a new insurance medical cost prediction method. It is based on the
piecewise-linear approach using the SGTM neural-like structure. Piecewise-linear approach …