Dmytro Peleshko

发表

Development of tracking and segmentation algorithm of partially occluded moving objects

Dmytro Peleshko, Y. Ivanov, A. Klyuvak, 2013, 2013 12th International Conference on the Experience of Designing and Application of CAD Systems in Microelectronics (CADSM).

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

Dmytro Peleshko, Olena Vynokurova, Yevgeniy V. Bodyanskiy, 2018, DepCoS-RELCOMEX.

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

Dmytro Peleshko, Olena Vynokurova, Alexander Vlasenko, 2018, Data.

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

Yevgeniy Bodyanskiy, Dmytro Peleshko, Olena Vynokurova, 2018, 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP).

The Analytical Review of Fire Detecting Method by Using Computer Vision

Dmytro Peleshko, Oleksii Maksymiv, Taras Rak, 2016 .

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

Dmytro Peleshko, Olena Vynokurova, Yevgeniy V. Bodyanskiy, 2017, EUSFLAT/IWIFSGN.

Morphological processing of videostream frames binary masks

Dmytro Peleshko, Yuriy Ivanov, Yuriy Rashkevych, 2015, 2015 Xth International Scientific and Technical Conference "Computer Sciences and Information Technologies" (CSIT).

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

Pavlo Mulesa, Dmytro Peleshko, Olena Vynokurova, 2017, Neurocomputing.

Video-based Flame Detection using LBP-based Descriptor: Influences of Classifiers Variety on Detection Efficiency

Dmytro Peleshko, Oleksii Maksymiv, Taras Rak, 2017 .

Image Superresolution via Divergence Matrix and Automatic Detection of Crossover

Ivan Izonin, Dmytro Peleshko, Taras Rak, 2016 .

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

Dmytro Peleshko, Olena Vynokurova, Yevgeniy V. Bodyanskiy, 2015, 2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS).

Adaptive moving object segmentation algorithms in cluttered environments

Ivan Izonin, Dmytro Peleshko, Igor Malets, 2015, The Experience of Designing and Application of CAD Systems in Microelectronics.

Partial Blur: Model, Detection, Deblurring

Dmytro Peleshko, Yuriy Ivanov, Mariya Rashkevych, 2014, DepCoS-RELCOMEX.

Neo-Fuzzy Encoder and Its Adaptive Learning for Big Data Processing

Dmytro Peleshko, Olena Vynokurova, Yuriy Rashkevych, 2017 .

Real-Time Flame Detection Using Hypotheses Generating Techniques

Dmytro Peleshko, Olena Vynokurova, Oleksii Maksymiv, 2019 .

Hybrid fuzzy-clustering algorithm of unevenly and asynchronously spaced time series in computer engineering

Yevgeniy Bodyanskiy, Dmytro Peleshko, Olena Vynokurova, 2018, 2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET).

Online Time Series Changes Detection Based on Neuro-Fuzzy Approach

Yevgeniy Bodyanskiy, Dmytro Peleshko, Olena Vynokurova, 2019, Predictive Maintenance in Dynamic Systems.

Core Generator of Hypotheses for Real-Time Flame Detecting

Dmytro Peleshko, Oleksii Maksymiv, Taras Rak, 2018, 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP).

Hybrid Adaptive Systems of Computational Intelligence and Their On-line Learning for Green IT in Energy Management Tasks

Yevgeniy Bodyanskiy, Dmytro Peleshko, Olena Vynokurova, 2017 .

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

Dmytro Peleshko, Olena Vynokurova, Yuriy Borzov, 2018, 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP).

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

Ivan Izonin, Dmytro Peleshko, Taras Rak, 2015, 2015 Xth International Scientific and Technical Conference "Computer Sciences and Information Technologies" (CSIT).

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

Yevgeniy Bodyanskiy, Dmytro Peleshko, Olena Vynokurova, 2017, DepCoS-RELCOMEX.

Multidimensional Wavelet Neuron for Pattern Recognition Tasks in the Internet of Things Applications

Dmytro Peleshko, Olena Vynokurova, Semen Oskerko, 2018 .

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

Dmytro Peleshko, Olena Vynokurova, Yevgeniy V. Bodyanskiy, 2016, DepCoS-RELCOMEX.

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

Dmytro Peleshko, Yuriy Rashkevych, Igor Malets, 2016, 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP).

Two-frames image superresolution based on the aggregate divergence matrix

Ivan Izonin, Dmytro Peleshko, Taras Rak, 2016, 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP).

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

Ivan Izonin, Dmytro Peleshko, Yuriy Borzov, 2016, 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP).

Single-frame image super-resolution based on singular square matrix operator

Natalia Lotoshynska, Ivan Izonin, Dmytro Peleshko, 2017, 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON).

ITHEA MULTILAYER NEURO-FUZZY SYSTEM FOR SOLVING ON-LINE DIAGNOSTICS TASKS

Yevgeniy Bodyanskiy, Dmytro Peleshko, Olena Vynokurova, 2014 .