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Yuliya E. Kuvayskova

Observed names: J.E. Kuvayskova, Yu E Kuvayskova, Yu. E. Kuvayskova, Yu. Kuvayskova, Yu.E. Kuvayskova, Yulia E. Kuvayskova, Yulia Kuvayskova, Yuliya Kuvayskova
ORCID: 0000-0002-9009-6776
Observed ORCID: 0000-0002-9009-6776
OpenAlex ID: A5053506502
Applying the Random Forest Method to Improve Burner Efficiency
2022 · Vladislav Kovalnogov, Ruslan Fedorov, et al. · Mathematics · 21
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The prediction algorithm of the technical state of an object by means of fuzzy logic inference models
2017 · Yu. E. Kuvayskova · Procedia Engineering · 13
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Models Updating for Technical Objects State Forecasting
2018 · Victor R. Krasheninnikov, Vladimir N. Klyachkin, et al. · Russian-Pacific Conference on Computer Technology and Applications (RPC) · 10
The use of aggregate classifiers in technical diagnostics, based on machine learning
2017 · Vladimir N. Klyachkin, Yulia E. Kuvayskova, et al. · International Conference on Information Technology and Nanotechnology (ITNT) · 10
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Aggregated Classifiers for State Diagnostics of the Technical Object
2019 · V.N. Klyachkin, J.E. Kuvayskova, et al. · International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon) · 7
Selection of aggregated classifiers for the prediction of the state of technical objects
2019 · Dmitriy Zhukov, Vladimir Klyachkin, et al. · International Conference on Information Technology and Nanotechnology (ITNT) · 7
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Modelling and forecasting of quasi-periodic processes in technical objects based on cylindrical image models
2019 · Victor Krasheninnikov, Yulia Kuvayskova · International Conference on Information Technology and Nanotechnology (ITNT) · 6
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Hyper-Parameter Selection of Machine Learning Models for Predicting the State of a Technical Object
2024 · Yuliya Kuvayskova, Anastasiya Izyurova, et al. · International Russian Smart Industry Conference (SmartIndustryCon) · 5
Pseudo-gradient algorithm for identification of doubly stochastic cylindrical image model
2020 · Victor Krasheninnikov, Yuliya Kuvayskova, et al. · Procedia Computer Science · 5
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Estimation and Prediction of the Technical Condition of an Object Based on Machine Learning Algorithms Under Conditions of Class Inequality
2022 · Victor R. Krasheninnikov, Yuliya E. Kuvayskova, et al. · Smart innovation, systems and technologies · 4
Models and filtering of circular images with harmonic components of the covariance function
2021 · Victor R. Krasheninnikov, Yuliya E. Kuvayskova, et al. · Procedia Computer Science · 4
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Recognition and Forecasting of a Technical Object State based on Its Operation Indicators Monitoring Results
2020 · Yu. Kuvayskova, V. Klyachkin, et al. · International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon) · 4
Pseudo-gradient algorithms for forecasting and filtering cylindrical and circular images
2020 · Viktor Krasheninnikov, Yulia Kuvayskova, et al. · International Conference on Information Technology and Nanotechnology (ITNT) · 3
Autoregressive models of random fields on the circle
2019 · V R Krasheninnikov, Yu E Kuvayskova, et al. · Journal of Physics Conference Series · 3
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Updating of Models Predicting Objects’ State as Time Series Systems and Multivariate Classifier
2017 · V. R. Krasheninnikov, Yu. E. Kuvayskova, et al. · Vestnik komp iuternykh i informatsionnykh tekhnologii · 3
Application of Sampling Algorithms for Sample Balancing in Diagnostics of Technical Object Condition
2025 · Yuliya Kuvayskova, Anastasiya Izyurova · International Russian Smart Industry Conference (SmartIndustryCon) · 2
Forecasting Operating Parameters of a Technical Object Based on Random Process Description in the Form of Images on Curved Surfaces
2024 · Yuliya Kuvayskova, Victor Krasheninnikov, et al. · International Russian Automation Conference (RusAutoCon) · 2
Prediction of Technical Object State In Conditions of Unbalanced Classes on the Basis of Machine Learning Models
2024 · Yuliya Kuvayskova, Anastasiya Izyurova, et al. · International Russian Automation Conference (RusAutoCon) · 2
Potable Water Quality Assessment Using Machine Training Methods
2024 · Yuliya E. Kuvayskova, Vladimir N. Klyachkin, et al. · Learning and analytics in intelligent systems · 2
Multi-quasi-periodic Cylindrical and Circular Images
2021 · Victor R. Krasheninnikov, Yuliya E. Kuvayskova, et al. · Smart innovation, systems and technologies · 2
Application of Ensemble Machine Learning Methods for Predicting the Technical State of an Object
2021 · Yu.E. Kuvayskova · Izvestiya of Samara Scientific Center of the Russian Academy of Sciences · 2
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Estimation of a Quasi-Period Length of a Quasiperiodic Process While Forecasting the Operating Parameters of a Technical Object
2025 · Yuliya Kuvayskova, Victor Krasheninnikov, et al. · International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM) · 1
Neural Network Architecture Search Algorithm for Technical Object State Prediction
2025 · Yuliya Kuvayskova, Aleksandr Nemykin · International Russian Smart Industry Conference (SmartIndustryCon) · 1
Forecasting the state of a technical object based on a model of a system of quasi-periodic processes in the form of images on a cylinder
2022 · Victor Krasheninnikov, Yuliya Kuvayskova, et al. · International Conference on Information Technology and Nanotechnology (ITNT) · 1
Forecasting the Technical State of an Object Based on the Composition of Machine Learning Methods
2021 · Yuliya Kuvayskova, Victor Krasheninnikov, et al. · International Conference on Information Technology and Nanotechnology (ITNT) · 1
Works count: 43
Citation count: 121
H-index: 6
I10-index: 4
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