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Cited by
Year
- 㳿 : -
, , Ҫ
: , 136, 2011
1542011
³ : .-.
, , Ҫ
: , 2009
80*2009
Image superresolution via divergence matrix and automatic detection of crossover
D Peleshko, T Rak, I Izonin
International Journal of Intelligent Systems and Applications (IJISA) 8 (12, 2016
692016
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
402017
The intellectual system development of distant competencies analyzing for IT recruitment
A Rzheuskyi, O Kutyuk, O Voloshyn, A Kowalska-Styczen, V Voloshyn, ...
Conference on Computer Science and Information Technologies, 696-720, 2019
382019
Video-based flame detection using LBP-based descriptor: influences of classifiers variety on detection efficiency
OP Maksymiv, TJ Rak, DD Peleshko
International Journal of Intelligent Systems and Applications, 2016
352016
Video-based flame detection using LBP-based descriptor: influences of classifiers variety on detection efficiency
OP Maksymiv, TJ Rak, DD Peleshko
International Journal of Intelligent Systems and Applications, 2016
352016
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
322015
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޲ , Ҫ
: - , 2011
262011
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
232016
Aviation aircraft planning system project development
V Lytvyn, A Kowalska-Styczen, D Peleshko, T Rak, V Voloshyn, ...
Conference on Computer Science and Information Technologies, 315-348, 2019
222019
ֲ̲ Ҳ ̲ ҪIJ
, , Ҫ
, 2008
192008
ϳ
, , Ҫ
ϳ 蠅, 2008
192008
Drone Monitoring System DROMOS of Urban Environmental Dynamics.
D Peleshko, T Rak, JR Noennig, V Lytvyn, V Vysotska
ITPM, 178-193, 2020
182020
Deep convolutional network for detecting probable emergency situations
O Maksymiv, T Rak, O Menshikova
2016 IEEE First International Conference on Data Stream Mining & Processing, 2016
172016
Deep convolutional network for detecting probable emergency situations
O Maksymiv, T Rak, O Menshikova
2016 IEEE First International Conference on Data Stream Mining & Processing, 2016
172016
Ii-iii i : -i
i, ,
142011
޲ , Ҫ
21 (12), 330-346, 2011
122011
T Rak
˳ 쳿 , 171-175, 2010
122010
, , Ҫ
" ", 2008
112008
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Articles 1–20