Development of stratified approach to software defined networks simulation V Shkarupylo, S Skrupsky, A Oliinyk, T Kolpakova Восточно-Европейский журнал передовых технологий, 67-73, 2017 | 39 | 2017 |
Stratified model of the internet of things infrastructure∗ jamil abedalrahim jamil alsayaydeh,“vadym shkarupylo,” mohd saad bin Hamid,“Stepan skrupsky” and “andrii oliinyk … JAJ Alsayaydeh Journal of Engineering and Applied Sciences 13 (20), 8634-8638, 2018 | 38 | 2018 |
Using parallel random search to train fuzzy neural networks AO Oliinyk, SY Skrupsky, SA Subbotin Automatic Control and Computer Sciences 48, 313-323, 2014 | 26 | 2014 |
Individual prediction of the hypertensive patient condition based on computational intelligence S Subbotin, A Oliinyk, S Skrupsky 2015 International Conference on Information and Digital Technologies, 348-356, 2015 | 24 | 2015 |
Experimental investigation with analyzing the training method complexity of neuro-fuzzy networks based on parallel random search AO Oliinyk, SY Skrupsky, SA Subbotin Automatic Control and Computer Sciences 49, 11-20, 2015 | 23 | 2015 |
Parallel method of production rules extraction based on computational intelligence A Oliinyk, S Skrupsky, S Subbotin, I Korobiichuk Automatic Control and Computer Sciences 51, 215-223, 2017 | 21 | 2017 |
Experimental research and analysis of complexity of parallel method for production rules extraction A Oliinyk, S Skrupsky, S Subbotin Automatic Control and Computer Sciences 52, 89-99, 2018 | 18 | 2018 |
Parallel computer system resource planning for synthesis of neuro-fuzzy networks A Oliinyk, S Skrupsky, SA Subbotin Recent Advances in Systems, Control and Information Technology: Proceedings …, 2017 | 18 | 2017 |
Parallel Method of Neural Network Synthesis Based on a Modified Genetic Algorithm Application. S Leoshchenko, AO Oliinyk, S Skrupsky, S Subbotin, T Zaiko MoMLeT, 11-23, 2019 | 14 | 2019 |
Parallel computing system resources planning for neuro-fuzzy models synthesis and big data processing A Oliinyk, SY Skrupsky, S Subbotin, O Blagodariov, Y Gofman Radio Electronics Computer Science Control, 61-69, 2016 | 11 | 2016 |
The Neural Network for Emotions Recognition under Special Conditions. M Tiahunova, O Tronkina, G Kirichek, S Skrupsky CMIS, 121-134, 2021 | 9 | 2021 |
Implementation of web system optimization method. G Kirichek, S Skrupsky, M Tiahunova, A Timenko CMIS, 199-210, 2020 | 9 | 2020 |
The model for estimation of computer system used resources while extracting production rules based on parallel computations A Oliinyk, SY Skrupsky, VV Shkarupylo, S Subbotin Радіоелектроніка, інформатика, управління, 142-152, 2017 | 9 | 2017 |
Information technology of diagnosis models synthesis based on parallel computing A Oliinyk, S Subbotin, S Skrupsky, V Lovkin, T Zaiko Радіоелектроніка, інформатика, управління, 139-151, 2017 | 8 | 2017 |
Parallel multiagent method of big data reduction for pattern recognition AO Oliinyk, SY Skrupsky, VV Shkarupylo, OY Blagodariov Радіоелектроніка, інформатика, управління, 82-92, 2017 | 6 | 2017 |
A model of semantic web service in a distributed computer system N Kulykovska, S Skrupsky, T Diachuk CEUR Workshop Proceedings, 338-351, 2020 | 5 | 2020 |
Parallel genetic method for the synthesis of recurrent neural networks for using in medicine S Leoshchenko, A Oliinyk, S Skrupsky, S Subbotin, V Lytvyn CEUR Workshop Proceedings, 1-17, 2019 | 5 | 2019 |
EXPERIMENTAL INVESTIGATION OF METHOD FOR THE SYNTHESIS OF NEURO-FUZZY MODELS IN A PARALLEL COMPUTER SYSTEM SY Skrupsky RADIO ELECTRONICS COMPUTER SCIENCE CONTROL, 56-63, 2016 | 1 | 2016 |
Methodology for Performance Analysis of Distributed Knowledge-Based Systems. N Kulykovska, A Timenko, S Hrushko, S Skrupsky CMIS, 206-215, 2021 | | 2021 |
ПАРАЛЕЛЬНИЙ МУЛЬТИАГЕНТНИЙ МЕТОД РЕДУКЦІЇ ВЕЛИКИХ МАСИВІВ ДАНИХ ДЛЯ РОЗПІЗНАВАННЯ ОБРАЗІВ AО Oliinyk, SY Skrupsky, VV Shkarupylo, OY Blagodariov Radio Electronics, Computer Science, Control, 82-92, 2017 | | 2017 |