Dmytro Peleshko

According to our database, Dmytro Peleshko authored at least 27 papers between 2014 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Drone Monitoring System DROMOS of Urban Environmental Dynamics.

Dmytro Peleshko, Taras Rak, Jörg Rainer Noennig, Vasyl Lytvyn, Victoria Vysotska

Proceedings of the 1st International Workshop IT Project Management (ITPM 2020), 2020

Solving Fraud Detection Tasks Based on Wavelet-Neuro Autoencoder.

Olena Vynokurova, Dmytro Peleshko, Polina Zhernova, Iryna Perova, Andrii Kovalenko

Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2020

Hybrid Deep Convolutional Neural Network with Multimodal Fusion.

Olena Vynokurova, Dmytro Peleshko, Marta Peleshko

DSMP (Selected Papers), 2020

Hybrid Machine Learning System for Solving Fraud Detection Tasks.

Olena Vynokurova, Dmytro Peleshko, Oleksandr Bondarenko, Vadim Ilyasov, Vladislav Serzhantov, Marta Peleshko

Proceedings of the IEEE Third International Conference on Data Stream Mining, Processing, 2020

Hybrid Multidimensional Deep Convolutional Neural Network for Multimodal Fusion.

Olena Vynokurova, Dmytro Peleshko

Proceedings of the IEEE Third International Conference on Data Stream Mining, Processing, 2020

An Empirical Mode Decomposition Based Method to Synthesize Ensemble Multidimensional Gaussian Neuro-Fuzzy Models in Financial Forecasting.

Alexander Vlasenko, Nataliia Vlasenko, Olena Vynokurova, Dmytro Peleshko

DSMP (Selected Papers), 2020

A Hybrid EMD - Neuro-Fuzzy Model for Financial Time Series Analysis.

Alexander Vlasenko, Yuriy Rashkevych, Nataliia Vlasenko, Dmytro Peleshko, Olena Vynokurova

Proceedings of the IEEE Third International Conference on Data Stream Mining, Processing, 2020

Conceptual Model of Information System for Drone Monitoring of Trees' Condition.

Vasyl Lytvyn, Alina Dmytriv, Andriy Berko, Vladislav Alieksieiev, Taras Basyuk, Jörg Rainer Noennig, Dmytro Peleshko, Taras Rak, Viktor Voloshyn

Proceedings of the 4th International Conference on Computational Linguistics and Intelligent Systems (COLINS 2020). Volume I: Main Conference, 2020

2019

A Novel Ensemble Neuro-Fuzzy Model for Financial Time Series Forecasting.

Alexander Vlasenko, Nataliia Vlasenko, Olena Vynokurova, Yevgeniy V. Bodyanskiy, Dmytro Peleshko

Data, 2019

The Intellectual System Development of Distant Competencies Analyzing for IT Recruitment.

Antonii Rzheuskyi, Orest Kutyuk, Orysia Voloshyn, Agnieszka Kowalska-Styczen, Viktor Voloshyn, Lyubomyr Chyrun, Sofia Chyrun, Dmytro Peleshko, Taras Rak

Proceedings of the Advances in Intelligent Systems and Computing IV, 2019

Aviation Aircraft Planning System Project Development.

Vasyl Lytvyn, Agnieszka Kowalska-Styczen, Dmytro Peleshko, Taras Rak, Viktor Voloshyn, Jörg Rainer Noennig, Victoria Vysotska, Lesia Nykolyshyn, Hanna Pryshchepa

Proceedings of the Advances in Intelligent Systems and Computing IV, 2019

2018

A Novel Neuro-Fuzzy Model for Multivariate Time-Series Prediction.

Alexander Vlasenko, Nataliia Vlasenko, Olena Vynokurova, Dmytro Peleshko

Data, 2018

Hybrid Multidimensional Wavelet-Neuro-System and its Learning Using Cross Entropy Cost Function in Pattern Recognition.

Olena Vynokurova, Dmytro Peleshko, Yuriy Borzov, Semen Oskerko, Viktor Voloshyn

Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018

Core Generator of Hypotheses for Real-Time Flame Detecting.

Dmytro Peleshko, Oleksii Maksymiv, Taras Rak, Orysia Voloshyn, Bohdan Morklyanyk

Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018

The Autoencoder Based on Generalized Neo-Fuzzy Neuron and its Fast Learning for Deep Neural Networks.

Yevgeniy V. Bodyanskiy, Dmytro Peleshko, Yuriy Rashkevych, Olena Vynokurova

Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018

Associative Probabilistic Neuro-Fuzzy System for Data Classification Under Short Training Set Conditions.

Yevgeniy V. Bodyanskiy, Artem Dolotov, Dmytro Peleshko, Yuriy Rashkevych, Olena Vynokurova

Proceedings of the Contemporary Complex Systems and Their Dependability, 2018

2017

Adaptive multivariate hybrid neuro-fuzzy system and its on-board fast learning.

Yevgeniy V. Bodyanskiy, Olena Vynokurova, Galina Setlak, Dmytro Peleshko, Pavlo Mulesa

Neurocomputing, 2017

Adaptive Fuzzy Clustering of Multivariate Short Time Series with Unevenly Distributed Observations Based on Matrix Neuro-Fuzzy Self-organizing Network.

Galina Setlak, Yevgeniy V. Bodyanskiy, Iryna Pliss, Olena Vynokurova, Dmytro Peleshko, Illya Kobylin

Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT-2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017

Deep Stacking Convex Neuro-Fuzzy System and Its On-line Learning.

Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Dmytro Peleshko, Yuriy Rashkevych

Proceedings of the Advances in Dependability Engineering of Complex Systems, 2017

2016

Tracking in the intersection areas of the cameras fields-of-view of CCTV monitoring distributed systems.

Yuriy Rashkevych, Dmytro Peleshko, Yuriy Ivanov, Igor Malets, Viktor Voloshyn

Proceedings of the First International Conference on Data Stream Mining & Processing, 2016

Two-frames image superresolution based on the aggregate divergence matrix.

Dmytro Peleshko, Taras Rak, Marta Peleshko, Ivan Izonin, Danylo Batyuk

Proceedings of the First International Conference on Data Stream Mining & Processing, 2016

Design and implementation of visitors queue density analysis and registration method for retail videosurveillance purposes.

Dmytro Peleshko, Yuriy Ivanov, Boris Sharov, Ivan Izonin, Yuriy Borzov

Proceedings of the First International Conference on Data Stream Mining & Processing, 2016

Hybrid Generalized Additive Wavelet-Neuro-Fuzzy-System and Its Adaptive Learning.

Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Dmytro Peleshko, Yuriy Rashkevych

Proceedings of the Dependability Engineering and Complex Systems, 2016

2015

Hybrid generalized additive neuro-fuzzy system and its adaptive learning algorithms.

Yevgeniy V. Bodyanskiy, Galina Setlak, Dmytro Peleshko, Olena Vynokurova

Proceedings of the IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2015

Learning-based image super-resolution using weight coefficients of synaptic connections.

Ivan Izonin, Roman Tkachenko, Dmytro Peleshko, Taras Rak, Danylo Batyuk

Proceedings of the Xth International Scientific and Technical Conference "Computer Sciences and Information Technologies", 2015

Morphological processing of videostream frames binary masks.

Yuriy Ivanov, Dmytro Peleshko, Yuriy Rashkevych, Zdzislaw Szymanski

Proceedings of the Xth International Scientific and Technical Conference "Computer Sciences and Information Technologies", 2015

2014

Partial Blur: Model, Detection, Deblurring.

Dmytro Peleshko, Mariya Rashkevych, Andriy Klyuvak, Yuriy Ivanov

Proceedings of the Ninth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX. June 30, 2014