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Horizon Dynamics
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Publications

Research Publications

Research in computer vision, deep learning, and UAV-based systems

28Publications
12Journal Articles
12Conference Papers
58Citations
Showing all 28 publications
2023Dissertations

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

Oleksandr Melnychenko

UAVObject DetectionDeep LearningImage Processing+1
2025Journal Articles

Criticality Assessment of Wind Turbine Defects via Multispectral UAV Fusion and Fuzzy Logic

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

Energies 18(17), 4523

Wind TurbineDefect DetectionMultispectralUAV+2
DOI
2025Journal Articles

DyTAM: Accelerating Wind Turbine Inspections with Dynamic UAV Trajectory Adaptation

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

Energies 18(7), 1823

Wind TurbineUAVTrajectory AdaptationDynamic Inspection+1
DOI
2024Journal Articles

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
5DOI
2024Journal Articles

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
2
2024Conference Papers

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
1
2024Conference Papers

Distributed Intelligent System Architecture for UAV-Assisted Monitoring of Wind Energy Infrastructure

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

AdvAIT 2024

Distributed SystemsUAVWind EnergyInfrastructure Monitoring+1
arXiv
2023Conference Papers

Apple Detection with Occlusions Using Modified YOLOv5-v1

Oleksandr Melnychenko, Oleg Savenko, Pavlo Radiuk

IEEE IDAACS 2023

Apple DetectionYOLOv5OcclusionObject Detection+1
8
2023Conference Papers

A Self-Organized Automated System to Control Unmanned Aerial Vehicles for Object Detection

Oleksandr Melnychenko, Oleg Savenko

IntelITSIS 2023

UAVSelf-Organized SystemsAutomated ControlObject Detection
3
2025Preprints

YOLO Ensemble for UAV-based Multispectral Defect Detection in Wind Turbine Components

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

arXiv:2509.04156

YOLOEnsemble LearningMultispectralWind Turbine+2
arXiv
2025Preprints

Method of UAV Inspection of Photovoltaic Modules Using Thermal and RGB Data Fusion

Andrii Lysyi, Anatoliy Sachenko, Pavlo Radiuk, Mykola Lysyi, Oleksandr Melnychenko, Diana Zahorodnia

arXiv:2512.06504

PhotovoltaicSolar PanelsUAV InspectionThermal Imaging+1
arXiv
2024Preprints

Dynamic Trajectory Adaptation for Efficient UAV Inspections of Wind Energy Units

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

arXiv:2411.17534

UAVTrajectory PlanningWind EnergyDynamic Adaptation+1
1arXiv
2025Journal Articles

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

Pavlo Radiuk, Liliana Klymenko, Iurii Krak

Technologies 13(1), 34

ECGArrhythmiaExplainable AICNN+2
DOI
2025Journal Articles

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

Pavlo Radiuk, Oleksandr Chaban, Eduard Manziuk

Journal of Edge Computing 4(2), 159-178

Knowledge DistillationMulti-TeacherDeep LearningModel Compression+1
2024Journal Articles

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
3DOI
2024Journal Articles

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

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

Frontiers in Artificial Intelligence 7

Explainable AIHealthcareDeep LearningUser-Friendly+1
2DOI
2025Journal Articles

An Adaptive Machine Learning Approach to Sustainable Traffic Planning: High-Fidelity Pattern Recognition in Smart Transportation Systems

Oleksander Barmak, Pavlo Radiuk, Eduard Manziuk, Iurii Krak

Future Transportation 5(4), 152

Traffic PlanningMachine LearningSmart TransportationPattern Recognition+1
DOI
2025Journal Articles

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

Pavlo Radiuk, Zakhar Ostrovskyi, Oleksander Barmak, Iurii Krak

Machine Learning and Knowledge Extraction 7(3), 81

UAVGeo-LocalizationLandmark DetectionDeep Learning+1
DOI
2025Journal Articles

Hierarchical Deep Learning Model for Identifying Similar Targets in UAV Imagery

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

Drones 9(11), 743

UAVTarget IdentificationHierarchical LearningDeep Learning+1
DOI
2024Conference Papers

Explainable Deep Learning for Interpretable Brain Tumor Diagnosis from MRI Images

Pavlo Radiuk, Oleksander Barmak, Iurii Krak

ICAART 2024

Brain TumorMRIExplainable AIMedical Imaging+1
1
2024Conference Papers

ECG Arrhythmia Classification and Interpretation using Convolutional Networks for Intelligent IoT Healthcare System

Pavlo Radiuk, Oleksii Kovalchuk, Olexander Barmak, Iurii Krak

ICyberPhyS 2024

ECGArrhythmiaCNNIoT+2
2024Conference Papers

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

Pavlo Radiuk, Oleksander Barmak, Iurii Krak

IEEE IDAACS 2023

ECGR-peak DetectionDeep LearningDomain Knowledge+1
2
2023Conference Papers

A Novel Feature Vector for ECG Classification using Deep Learning

Pavlo Radiuk, Oleksander Barmak, Iurii Krak

IntelITSIS 2023

ECGFeature VectorDeep LearningClassification+1
3
2022Conference Papers

An Ensemble Machine Learning Approach for Twitter Sentiment Analysis

Pavlo Radiuk, Oleksander Barmak

COLINS 2022

Sentiment AnalysisTwitterEnsemble LearningNLP+1
5
2022Conference Papers

Convolutional Neural Network for Parking Slots Detection

Pavlo Radiuk, Houda El Bouhissi

IntelITSIS 2022

Parking DetectionCNNComputer VisionSmart Cities+1
4
2021Conference Papers

Detection of Early Pneumonia on Individual CT Scans with Dilated Convolutions

Pavlo Radiuk, Iurii Krak, Oleksander Barmak

IDDM 2021

PneumoniaCT ScanDilated ConvolutionsMedical Imaging+1
6
2020Journal Articles

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

Pavlo Radiuk

Applied Computer Systems 25(2)

3D U-NetOrgan SegmentationCTMedical Imaging+1
12
2025Conference Papers

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

Pavlo Radiuk, Andrii Shupta, Iurii Krak

IntelITSIS 2025

Fake NewsLLMFeature ExtractionNLP+1

Author Profiles:

Oleksandr MelnychenkoScholarORCIDScopus
Pavlo RadiukScholarORCIDScopus