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Roman Kaminskyy
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2020 – today
- 2024
- [j4]Nataliya Shakhovska, Roman Kaminskyi, Bohdan Khudoba:
Experimental study and clustering of operating staff of search systems in the sense of stress resistance. Frontiers Big Data 6 (2024) - 2023
- [j3]Nataliya Shakhovska
, Roman Kaminskyy, Bohdan Khudoba, Vladyslav Mykhailyshyn, Ihor Helzhynskyi:
A Novel Methodology Analyzing the Influence of Micro-Stresses on Human-Centric Environments. Comput. 11(11): 224 (2023) - 2021
- [j2]Roman Kaminskyy
Dendrograms-based disclosure method for evaluating cluster analysis in the IoT domain. Comput. Ind. Eng. 158: 107402 (2021) - 2020
- [c7]Roman Kaminskyy, Natalia Kryvinska:
Simulation of Human-Operator Behavior in Solving Intellectual Problems during Control of Technological Processes in Stresses. IDDM 2020: 397-404
2010 – 2019
- 2019
- [c6]Roman Kaminskyi
Calculation of the Exact Value of the Fractal Dimension in the Time Series for the Box-Counting Method. ACIT 2019: 248-251 - [c5]Roman Kaminskyi
Calculating the constant in the Hurst index for the time series. CSIT (2) 2019: 50-54 - 2018
- [j1]Nataliya Shakhovska, Roman Kaminskyy, Eugen Zasoba, Mykola Tsiutsiura:
Association Rules Mining in Big Data. Int. J. Comput. 17: 25-32 (2018) - [c4]Roman Kaminskyi, Nataliia Kunanets, Volodymyr Pasichnyk, Antonii Rzheuskyi, Andrii Khudyi:
Recovery Gaps in Experimental Data. COLINS 2018: 108-118 - [c3]Roman Kaminskyi
Methods of Statistical Research for Information Managers. CSIT (2) 2018: 127-131 - 2017
- [c2]Natalya Shakhovska
The Identification of the Operator's Systems Images Using the Method of the Phase Portrait. CSIT 2017: 241-253 - [c1]Helen Dmitriv, Roman Kaminsky
Two Algorithms Median Filtering to Identify the Time Series Trend. CSIT 2017: 283-292
Coauthor Index
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last updated on 2024-07-24 20:45 CEST by the dblp team
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