| 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 | 70 | 2016 |
| 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 | 59 | 2018 |
| 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 | 47 | 2017 |
| 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 | 42 | 2017 |
| 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 | 39 | 2013 |
| 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 | 38 | 2019 |
| 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 | 35 | 2016 |
| 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 | 32 | 2015 |
| 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 | 31 | 2016 |
| 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 | 28 | 2015 |
| A novel ensemble neuro-fuzzy model for financial time series forecasting A Vlasenko, N Vlasenko, O Vynokurova, Y Bodyanskiy, D Peleshko Data 4 (3), 126, 2019 | 26 | 2019 |
| Hybrid fuzzy-clustering algorithm of unevenly and asynchronously spaced time series in computer engineering Y Bodyanskiy, I Kobylin, Y Rashkevych, O Vynokurova, D Peleshko 2018 14th International Conference on Advanced Trends in Radioelecrtronics …, 2018 | 25 | 2018 |
| Hybrid machine learning system for solving fraud detection tasks O Vynokurova, D Peleshko, O Bondarenko, V Ilyasov, V Serzhantov, ... 2020 IEEE Third International Conference on Data Stream Mining & Processing …, 2020 | 24 | 2020 |
| 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 | 24 | 2016 |
| 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 | 23 | 2011 |
| 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 | 22 | 2019 |
| 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 | 21 | 2017 |
| HTS racetrack coils for electrical machines S Kozub, I Bogdanov, E Kashtanov, V Shuvalov, V Smirnov, V Sytnik, ... Refrigeration Science and Technology, 283-287, 2014 | 20 | 2014 |
| A hybrid neuro-fuzzy model for stock market time-series prediction A Vlasenko, O Vynokurova, N Vlasenko, M Peleshko 2018 IEEE Second International Conference on Data Stream Mining & Processing …, 2018 | 19 | 2018 |
| Drone Monitoring System DROMOS of Urban Environmental Dynamics. D Peleshko, T Rak, JR Noennig, V Lytvyn, V Vysotska ITPM, 178-193, 2020 | 18 | 2020 |
Dmytro PeleshkoDr.Sc, Prof., GeoGuard / д.т.н., професор, GeoGuardVerified email at geoguard.com
