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ORCIDOleksandr Bezsonov
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2020 – today
- 2024
[c11]Oleg Rudenko, Oleksandr Bezsonov, Oleg Ilyunin, Nataliia Serdiuk:
Application of neural networks for optimization of metal cutting parameters in AWJ. ICST 2024: 352-364- 2023
- [c10]Oleg Rudenko, Oleksandr Bezsonov, Nataliia Serdiuk, Kateryna Pasichnyk:
A Study of Temporal and Recurrent Neural Networks for CO2 Emission Forecasting. CMIS 2023: 119-129 - [c9]Oleg Rudenko, Oleksandr Bezsonov, Andrzej Szajna, Stanislav Piskunov:
CNN Based Predictive Maintanance of Generalized Rotational Equipment. COLINS (1) 2023: 51-62 - [c8]Oleg Rudenko, Oleksandr Bezsonov, Kateryna Vashchenko, Sofiia Rutska:
Synthetic Dataset Generation for Efficient Neural Network Training. COLINS (1) 2023: 146-159 - [c7]Oleg Rudenko, Oleksandr Bezsonov, Oleg Ilyunin, Nataliia Serdiuk:
Intelligent Control of the Surface Defects Removal in Rolled Products using Water Jet Technology. ICST 2023: 201-213 - 2022
- [c6]Oleksandr Bezsonov, Oleg Ilyunin, Alisher Khusanov, Oleg Rudenko, Oleg Sotnikov:
Intelligent Identification System of the Process Liquid Solutions Composition. COLINS 2022: 960-973 - [c5]Oleg G. Rudenko, Oleksandr Bezsonov, Andrzej Szajna:
Adaptive ADALINE Robust Training Algorithm Under the Maximum Correntropy Criterion With Variable Center. COLINS 2022: 1117-1128 - 2021
- [c4]Oleg Rudenko, Oleksandr Bezsonov, Denys Yakovliev:
Face Recognition in the Presence of Non-Gaussian Noise. CMIS 2021: 169-181 - [c3]Oleg Rudenko, Oleksandr Bezsonov:
Robust Training of ADALINA Based on the Criterion of the Maximum Correntropy in the Presence of Outliers and Correlated Noise. COLINS 2021: 1694-1705 - 2020
- [c2]Oleg Rudenko, Yuriy Megel, Oleksandr Bezsonov, Antonina Rybalka:
Cattle breed identification and live weight evaluation on the basis of machine learning and computer vision. CMIS 2020: 939-954 - [c1]Oleg Rudenko, Oleksandr Bezsonov, Kyrylo Oliinyk:
First-Order Optimization (Training) Algorithms in Deep Learning. COLINS 2020: 921-935
2010 – 2019
- 2011
- [j1]Oleg Rudenko, Oleksandr Bezsonov:
Function Approximation Using Robust Radial Basis Function Networks. J. Intell. Learn. Syst. Appl. 3(1): 17-25 (2011)
Coauthor Index
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last updated on 2024-10-25 21:15 CEST by the dblp team
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