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ORCIDS. Yu. Skrupsky
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2020 – today
- 2023
[c8]Artur Moroz, Illia Solohubov, Mariia Yu. Tiahunova, Halyna H. Kyrychek, Stepan Skrupsky:
Application of neural networks for adaptive and flexible electronic tourist guide. CTE 2023: 67-75- [c7]Illia Solohubov, Artur Moroz, Mariia Yu. Tiahunova, Halyna H. Kyrychek, Stepan Skrupsky:
Accelerating software development with AI: exploring the impact of ChatGPT and GitHub Copilot. CTE 2023: 76-86 - 2021
- [c6]Mariia Tiahunova, Olesia Tronkina, Galina Kirichek, Stepan Skrupsky:
The Neural Network for Emotions Recognition under Special Conditions. CMIS 2021: 121-134 - [c5]Nataliia Kulykovska, Artur Timenko, Svitlana Hrushko, Stepan Skrupsky:
Methodology for Performance Analysis of Distributed Knowledge-Based Systems. CMIS 2021: 206-215 - 2020
- [c4]Galina Kirichek, Stepan Skrupsky, Mariia Tiahunova, Artur Timenko:
Implementation of web system optimization method. CMIS 2020: 199-210 - [c3]Nataliia Kulykovska, Stepan Skrupsky, Tetiana Diachuk:
A model of semantic web service in a distributed computer system. CMIS 2020: 338-351
2010 – 2019
- 2019
- [c2]Serhii Leoshchenko, Andrii O. Oliinyk, Stepan Skrupsky, Sergey Subbotin, Viktor Lytvyn:
Parallel Genetic Method for the Synthesis of Recurrent Neural Networks for Using in Medicine. CMIS 2019: 1-17 - [c1]Serhii Leoshchenko, Andrii O. Oliinyk, Stepan Skrupsky, Sergey Subbotin, Tetiana Zaiko:
Parallel Method of Neural Network Synthesis Based on a Modified Genetic Algorithm Application. MoMLeT 2019: 11-23 - 2018
- [j4]Andrii O. Oliinyk
, S. Yu. Skrupsky, Sergei Subbotin:
Experimental Research and Analysis of Complexity of Parallel Method for Production Rules Extraction. Autom. Control. Comput. Sci. 52(2): 89-99 (2018) - 2017
- [j3]Andrii O. Oliinyk, S. Yu. Skrupsky, Sergey Subbotin, Igor Korobiichuk:
Parallel method of production rules extraction based on computational intelligence. Autom. Control. Comput. Sci. 51(4): 215-223 (2017) - 2015
- [j2]Andrii O. Oliinyk, S. Yu. Skrupsky, Sergei Subbotin:
Experimental investigation with analyzing the training method complexity of neuro-fuzzy networks based on parallel random search. Autom. Control. Comput. Sci. 49(1): 11-20 (2015) - 2014
- [j1]Andrii O. Oliinyk, S. Yu. Skrupsky, Sergei Subbotin:
Using parallel random search to train fuzzy neural networks. Autom. Control. Comput. Sci. 48(6): 313-323 (2014)
Coauthor Index
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