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Natalia I. Kokriatskaia

Observed names: N. I. KOKRIATSKAIA, N. KOKRIATSKAIA, N. Kokryatskaya, N.I. KOKRIATSKAYA, N.I. Kokriatskaia, N.I. Kokryatskaya, Natalia I. Kokriatskaia, Natalia I. Kokryatskay, Natalia I. Kokriatskaya, Natalia I. Kokryatska, Natalia I. Kokryatskaya, Natalia Kokriatska, Natalia Kokriatskaia, Natalia Kokriatskaya, Natalia Kokryatskaya, Nataliya I. Kokriatskaia, Nataliya I. Kokriatskaya, Nataliya I. Kokryatskaya, Nataliya Kokriatskaya, Кокряцкая, Н. И., Кокряцкая, Н.И.
ORCID: 0000-0003-0090-3886
Observed ORCID: 0000-0003-0090-3886
OpenAlex ID: A5069447319
Bio-inspired approach to multistage image processing
2017 · Leonid I. Timchenko, Sergii V. Pavlov, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 31
Q-processors for real-time image processing
2020 · Leonid I. Timchenko, Natalia Kokriatskaia, et al. · Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series · 30
The method of parallel-hierarchical transformation for rapid recognition of dynamic images using GPGPU technology
2016 · Leonid Timchenko, Andrii Yarovyi, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 16
Precision measurement of coordinates of power center of extended laser path images
2018 · Damian Harasim, Leonid Timchenko, et al. · Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA) · 13
Parallel-hierarchical processing and classification of laser beam profile images based on the GPU-oriented architecture
2017 · Andrii A. Yarovyi, Leonid I. Timchenko, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 11
Parallel-hierarchical network as the model of neurocomputing
2018 · Żaklin M. Grądz, Mohammed Al-Maitah, et al. · Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA) · 10
Algorithm of parallel: hierarchical transformation and its implementation on FPGA
2017 · Leonid I. Timchenko, Mykola S. Petrovskiy, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 9
Analysis of computational processes of pyramidal and parallel-hierarchical processing of information
2018 · Konrad Gromaszek, Mohammed Al-Maitah, et al. · Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA) · 7
Processing laser beam spot images using the parallel-hierarchical network for classification and forecasting their energy center coordinates
2016 · Leonid I. Timchenko, Paweł Pijarski, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 7
Modeling of a method of parallel hierarchical transformation for fast recognition of dynamic images
2013 · Leonid I. Timchenko, Nataliya I. Kokryatskaya, et al. · EURASIP Journal on Advances in Signal Processing · 5
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Parallel-Hierarchical Computing System for Multi-Level Transformation of Masked Digital Signals
2012 · A. A. YAROVYY, L. I. TIMCHENKO, et al. · Advances in Electrical and Computer Engineering · 5
New Methods of Network Modelling Using Parallel-Hierarchical Networks for Processing Data and Reducing Erroneous Calculation Risk.
2020 · Leonid I. Timchenko, Waldemar Wójcik, et al. · 4
Elaboration of pyramidal methods applying computation technique “rough-fine” image identification
2019 · Leonid I. Timchenko, Natalia I. Kokriatskaia, et al. · Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA) · 4
Method of indicators forecasting of biomedical images using a parallel-hierarchical network
2019 · Leonid I. Timchenko, Natalia I. Kokriatskaia, et al. · Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA) · 4
Architecture of the parallel hierarchical network for fast image recognition
2016 · Leonid Timchenko, Waldemar Wójcik, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 4
Modeling of the high-performance PLD-based sectioning method for classification of the shape of optical object images
2013 · Leonid Tymchenko, Mycola Petrovskiy, et al. · SpringerPlus · 4
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Laser beam image classification methods with the use of parallel-hierarchical networks running on a programmable logic device
2014 · Leonid I. Timchenko, Nikolay S. Petrovskiy, et al. · Optical Engineering · 3
New approach for the detection of noise‐distorted signals based on the method of S‐preparation
2014 · Leonid I. Timchenko, Yuriy F. Kutayev, et al. · IET Image Processing · 3
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Segmentation of Multigradation Images Based on Spatial Connectivity Features
2023 · Leonid Timchenko, Natalia Kokriatskaya, et al. · Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska · 2
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Method for automatic assessing of the gradient filter threshold for fast processing of dynamic scenes objects
2015 · Leonid Timchenko, Oleksandr Poplavskyi, et al. · Eastern-European Journal of Enterprise Technologies · 2
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Analysis of G-Transformation Modes for Building Neuro-like Parallel–Hierarchical Network Identification of Rail Surface Defects
2025 · Vaidas Lukoševičius, Volodymyr Tverdomed, et al. · Mathematics · 1
The method of pyramid contour Q-transformation of biomedical images
2024 · Leonid Tymchenko, Natalia Kokriatskaya, et al. · Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA) · 1
Neurobiological Properties of the Structure of the Parallel-hierarchical Network and Its Usage for Pattern Recognition
2024 · Leonid Timchenko, Natalia Kokriatskaia, et al. · Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska · 1
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Local Difference Threshold Learning in Filtering Normal White Noise
2023 · Leonid Timchenko, Natalia Kokriatskaia, et al. · Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska · 1
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Parallel-hierarchical transformation for systems and means of artificial intelligence
2021 · Leonid Tymchenko, Natalia Kokriatskaia, et al. · 1
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Works count: 39
Citation count: 185
H-index: 7
I10-index: 6
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