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TitleCited byYear
Image Superresolution via Divergence Matrix Automatic Detection of Crossover
D Peleshko, T Rak, I Izonin
International Journal of Intelligent Systems and Applications 8 (12), 1, 2016
452016
Learning-based image scaling using neural-like structure of geometric transformation paradigm
R Tkachenko, P Tkachenko, I Izonin, Y Tsymbal
Advances in Soft Computing and Machine Learning in Image Processing, 537-565, 2018
312018
Single-frame image super-resolution based on singular square matrix operator
Y Rashkevych, D Peleshko, O Vynokurova, I Izonin, N Lotoshynska
2017 IEEE First Ukraine Conference on Electrical and Computer Engineering, 2017
292017
Video-based flame detection using LBP-based descriptor: influences of classifiers variety on detection efficiency
O Maksymiv, T Rak, D Peleshko
International Journal of Intelligent Systems and Applications 9 (2), 42, 2017
252017
Research of usage of Haar-like features and AdaBoost algorithm in Viola-Jones method of object detection
D Peleshko, K Soroka
2013 12th International Conference on the Experience of Designing and, 2013
202013
Design and implementation of visitors queue density analysis and registration method for retail videosurveillance purposes
D Peleshko, Y Ivanov, B Sharov, I Izonin, Y Borzov
2016 IEEE First International Conference on Data Stream Mining & Processing, 2016
192016
Adaptive multivariate hybrid neuro-fuzzy system and its on-board fast learning
Y Bodyanskiy, O Vynokurova, G Setlak, D Peleshko, P Mulesa
Neurocomputing 230, 409-416, 2017
182017
Two-frames image superresolution based on the aggregate divergence matrix
D Peleshko, T Rak, M Peleshko, I Izonin, D Batyuk
2016 IEEE First International Conference on Data Stream Mining & Processing, 2016
152016
Learning-based image super-resolution using weight coefficients of synaptic connections
I Izonin, R Tkachenko, D Peleshko, T Rak, D Batyuk
2015 Xth International Scientific and Technical Conference" Computer, 2015
152015
HTS racetrack coils for electrical machines
S Kozub, I Bogdanov, D Dezhin, E Kashtanov, K Kovalev, K Shuvalov, ...
Proceedings of Cryogenics, 283-287, 2014
142014
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142002
Real-time fire detection method combining AdaBoost, LBP and convolutional neural network in video sequence
O Maksymiv, T Rak, D Peleshko
2017 14th International Conference The Experience of Designing and, 2017
112017
Hybrid adaptive systems of computational intelligence and their on-line learning for green IT in energy management tasks
Y Bodyanskiy, O Vynokurova, I Pliss, D Peleshko
Green IT Engineering: Concepts, Models, Complex Systems Architectures, 229-244, 2017
112017
Hybrid generalized additive neuro-fuzzy system and its adaptive learning algorithms
Y Bodyanskiy, G Setlak, D Peleshko, O Vynokurova
2015 IEEE 8th International Conference on Intelligent Data Acquisition and, 2015
112015
Hybrid generalized additive wavelet-neuro-fuzzy-system and its adaptive learning
Y Bodyanskiy, O Vynokurova, I Pliss, D Peleshko, Y Rashkevych
International Conference on Dependability and Complex Systems, 51-61, 2016
102016
Adaptive moving object segmentation algorithms in cluttered environments
Y Ivanov, D Peleshko, O Makoveychuk, I Izonin, I Malets, N Lotoshunska, ...
The Experience of Designing and Application of CAD Systems in, 2015
102015
Analysis of invariant moments in tasks image processing
D Peleshko, M Peleshko, N Kustra, I Izonin
2011 11th International Conference The Experience of Designing and, 2011
102011
Features of the auto-associative neurolike structures of the geometrical transformation machine (GTM)
U Polishchuk, P Tkachenko, R Tkachenko, I Yurchak
2009 5th International Conference on Perspective Technologies and Methods in, 2009
102009
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1 (27), 2, 2008
102008
Neural network method for change resolution images
IV Izonin, RO Tkachenko, DD Peleshko, DA Batyuk
Information processing systems 9 (134), 30-34, 2015
82015
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Articles 1–20