Publications

Research Publications

AI, computer vision and data security research by Oleksandr Melnychenko and Pavlo Radiuk. Method summaries, evaluation context and links to original publications.

All Publications
49Publications
25Journal Articles
22Conference Papers

All Publications

Found 19 of 49 publications
Journal Articles
2026DOI

Automated Synthesis of Hierarchical Deep Learning Cascades for Identifying Visually Similar Objects in UAV Imagery

Dmytro Borovyk, Oleksander Barmak, Pavlo Radiuk, Iurii Krak

Technologies 14(6), 360
Deep LearningHierarchical ClassificationUAVComputer Vision
Journal Articles
2026DOI

Equivariant Transition Matrices for Explainable Deep Learning: A Lie Group Linearization Approach

Pavlo Radiuk, Oleksander Barmak, Leonid Bedratyuk, Iurii Krak

Machine Learning and Knowledge Extraction 8(4), 92
Explainable AITransition MatricesLie GroupsDeep Learning
Journal Articles
2025DOI

DyTAM: Accelerating Wind Turbine Inspections with Dynamic UAV Trajectory Adaptation

Serhii Svystun, Lukasz Scislo, Marcin Pawlik, Oleksandr Melnychenko, Pavlo Radiuk, Oleg Savenko, Anatoliy Sachenko

Energies 18(7), 1823
Wind TurbineUAVTrajectory AdaptationDynamic Inspection+1
Journal Articles
2025DOI

Towards Transparent AI in Medicine: ECG-Based Arrhythmia Detection with Explainable Deep Learning

Oleksii Kovalchuk, Oleksandr Barmak, Pavlo Radiuk, Liliana Klymenko, Iurii Krak

Technologies 13(1), 34
ECGArrhythmiaExplainable AICNN+2
Journal Articles
2025DOI

Method of Adaptive Knowledge Distillation from Multi-Teacher to Student Deep Learning Models

Oleksandr Chaban, Eduard Manziuk, Pavlo Radiuk

Journal of Edge Computing 4(2), 159-178
Knowledge DistillationMulti-TeacherDeep LearningModel Compression+1
Journal Articles
2025DOI

Unsupervised Knowledge Extraction of Distinctive Landmarks from Earth Imagery Using Deep Feature Outliers for Robust UAV Geo-Localization

Zakhar Ostrovskyi, Oleksander Barmak, Pavlo Radiuk, Iurii Krak

Machine Learning and Knowledge Extraction 7(3), 81
UAVGeo-LocalizationLandmark DetectionDeep Learning+1
Journal Articles
2025DOI

Hierarchical Deep Learning Model for Identifying Similar Targets in UAV Imagery

Dmytro Borovyk, Oleksander Barmak, Pavlo Radiuk, Iurii Krak

Drones 9(11), 743
UAVTarget IdentificationHierarchical LearningDeep Learning+1
Conference Papers
2025

Feature Computation Procedure for Fake News Detection: An LLM-Based Extraction Approach

Andrii Shupta, Pavlo Radiuk, Iurii Krak

IntelITSIS 2025
Fake NewsLLMFeature ExtractionNLP+1
Journal Articles
2024DOI

Intelligent Integrated System for Fruit Detection Using Multi-UAV Imaging and Deep Learning

Oleksandr Melnychenko, Lukasz Scislo, Oleg Savenko, Anatoliy Sachenko, Pavlo Radiuk

Sensors 24(6), 1913
Fruit DetectionMulti-UAVDeep LearningYOLOv5+2
Journal Articles
2024DOI

Thermal and RGB Images Work Better Together in Wind Turbine Damage Detection

Serhii Svystun, Oleksandr Melnychenko, Pavlo Radiuk, Oleg Savenko, Anatoliy Sachenko, Andrii Lysyi

International Journal of Computing 23(4), 526-535
Wind TurbineThermal ImagingRGBImage Fusion+2
Conference Papers
2024

Precision Slicing for Enhanced Defect Detection in High-Resolution Wind Turbine Blade Imagery

Serhii Svystun, Oleksandr Melnychenko, Pavlo Radiuk, Oleg Savenko, Anatoliy Sachenko

ICyberPhyS 2024
Wind TurbineDefect DetectionImage SlicingHigh Resolution+1
Journal Articles
2024DOI

Explainable Deep Learning: A Visual Analytics Approach with Transition Matrices

Pavlo Radiuk, Oleksander Barmak, Eduard Manziuk, Iurii Krak

Mathematics 12(7), 1024
Explainable AIVisual AnalyticsTransition MatricesDeep Learning+1
Journal Articles
2024DOI

Toward Explainable Deep Learning in Healthcare through Transition Matrix and User-Friendly Features

Oleksander Barmak, Iurii Krak, Sergiy Yakovlev, Eduard Manziuk, Pavlo Radiuk, Vladislav Kuznetsov

Frontiers in Artificial Intelligence 7, 1482141
Explainable AIHealthcareDeep LearningUser-Friendly+1
Conference Papers
2024DOI

Explainable Deep Learning for Interpretable Brain Tumor Diagnosis from MRI Images

Eduard Manziuk, Olexander Barmak, Iurii Krak, Nataliia Petliak, Zhenzhen Jin, Pavlo Radiuk

ISDMCI 2024
Brain TumorMRIExplainable AIMedical Imaging+1
Dissertations
2023

Methods of collection, recognition and processing of images obtained using UAVs for detection of specified objects

Oleksandr Melnychenko

UAVObject DetectionDeep LearningImage Processing+1
Conference Papers
2023

Robust R-peak Detection using Deep Learning based on Integrating Domain Knowledge

Oleksii Kovalchuk, Pavlo Radiuk, Olexander Barmak, Iurii Krak

IDDM 2023
ECGR-peak DetectionDeep LearningDomain Knowledge+1
Conference Papers
2023

A Novel Feature Vector for ECG Classification using Deep Learning

Oleksii Kovalchuk, Pavlo Radiuk, Olexander Barmak, Sergii Petrovskyi, Iurii Krak

IntelITSIS 2023
ECGFeature VectorDeep LearningClassification+1
Conference Papers
2022

Convolutional Neural Network for Parking Slots Detection

Pavlo Radiuk, Olga Pavlova, Houda El Bouhissi, Volodymyr Avsiyevych, Volodymyr Kovalenko

IntelITSIS 2022
Parking DetectionCNNComputer VisionSmart Cities+1
Journal Articles
2020DOI

Applying 3D U-Net Architecture to the Task of Multi-Organ Segmentation in Computed Tomography

Pavlo Radiuk

Applied Computer Systems 25(1), 43-50
3D U-NetOrgan SegmentationCTMedical Imaging+1