Taras Shevchenko National University of Kyiv
01033, 60 Volodymyrska Str., Kyiv, Ukraine
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Application of machine learning and computer vision methods to determine the size of NPP equipment elements in difficult measurement conditionsDmytro Belytskyi, Ruslan Yermolenko, Kostiantyn Petrenko, Olga Gogota Keywords: water-water power type reactor, neutron fields, physical properties, binocular system, machine learning
Belytskyi, D. , Yermolenko, R., Petrenko, K., & Gogota, O.
(2023).
Application of machine learning and computer vision methods to determine the size of NPP equipment elements in difficult measurement conditions.
Machinery & Energetics,
14(4),
42-53.
https://doi.org/10.31548/machinery/4.2023.42
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Application of the regression neural network for the analysis of the results of ultrasonic testingIvan Andriievskyi, Sofiia Spivak, Olga Gogota, Ruslan Yermolenko Keywords: non-destructive testing, operational defects, diagnostic efficiency, Data Processing, automation of procedures, industrial monitoring
Andriievskyi, I., Spivak, S., Gogota, O., & Yermolenko, R.
(2024).
Application of the regression neural network for the analysis of the results of ultrasonic testing.
Machinery & Energetics,
15(1),
43-55.
https://doi.org/10.31548/machinery/1.2024.43
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Development of an algorithm for detecting commercial unmanned aerial vehicles using machine learning methodsRuslan Yermolenko, Denys Klekots, Olga Gogota Keywords: convolutional neural network, object classification, YOLOv8, MobileNetV3, computer vision, binary cross-entropy
Yermolenko, R., Klekots, D., & Gogota, O.
(2024).
Development of an algorithm for detecting commercial unmanned aerial vehicles using machine learning methods.
Machinery & Energetics,
15(2),
33-45.
https://doi.org/10.31548/machinery/2.2024.33
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