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 Publications49Publications
25Journal Articles
22Conference Papers
All Publications
Found 19 of 49 publications
A Geo-consistent Weather Augmentation Method for Improving UAV Localization Robustness under Adverse Meteorological Conditions
Journal of Intelligent & Robotic SystemsUAVVisual LocalizationWeather AugmentationDomain Shift
CLARA: Cross-View Landmark Acquisition, Retrieval, and Anchoring as an Edge-Deployed Visual Trigger for Loosely Coupled UAV Navigation
Research SquareUAVVisual LocalizationEdge ComputingNavigation
Automated Synthesis of Hierarchical Deep Learning Cascades for Identifying Visually Similar Objects in UAV Imagery
Technologies 14(6), 360Deep LearningHierarchical ClassificationUAVComputer Vision
Architecture of cyberphysical systems for UAV-based late-fusion defect detection in photovoltaic modules
Innovative Technologies and Scientific Solutions for Industries · 1(35), 79-99PhotovoltaicCyber-Physical SystemsImage FusionSCADA+1
Method of UAV-Based Inspection of Photovoltaic Modules Using Thermal and RGB Data Fusion
Radioelectronic and Computer Systems 2025(4), 186-205PhotovoltaicSolar PanelsUAV InspectionThermal Imaging+1
YOLO Ensemble for UAV-based Multispectral Defect Detection in Wind Turbine Components
IDAACS 2025YOLOEnsemble LearningMultispectralWind Turbine+2
Enhanced fire hazard detection in solar power plants: an integrated UAV, AI, and SCADA-based approach
Radioelectronic and Computer Systems 2025(2), 99-117PhotovoltaicFire SafetySCADAUAV+1
Determining the Criticality Assessment of Defects on Wind Turbine Components Detected by UAV Sensors
IntelITSIS 2025 · CEUR Workshop Proceedings 3963Wind TurbineDefect DetectionUAVCriticality Assessment
Criticality Assessment of Wind Turbine Defects via Multispectral UAV Fusion and Fuzzy Logic
Energies 18(17), 4523Wind TurbineDefect DetectionMultispectralUAV+2
DyTAM: Accelerating Wind Turbine Inspections with Dynamic UAV Trajectory Adaptation
Energies 18(7), 1823Wind TurbineUAVTrajectory AdaptationDynamic Inspection+1
Unsupervised Knowledge Extraction of Distinctive Landmarks from Earth Imagery Using Deep Feature Outliers for Robust UAV Geo-Localization
Machine Learning and Knowledge Extraction 7(3), 81UAVGeo-LocalizationLandmark DetectionDeep Learning+1
Hierarchical Deep Learning Model for Identifying Similar Targets in UAV Imagery
Drones 9(11), 743UAVTarget IdentificationHierarchical LearningDeep Learning+1
Dynamic Trajectory Adaptation for Efficient UAV Inspections of Wind Energy Units
DESSERT 2024UAVTrajectory PlanningWind EnergyDynamic Adaptation+1
Intelligent Integrated System for Fruit Detection Using Multi-UAV Imaging and Deep Learning
Sensors 24(6), 1913Fruit DetectionMulti-UAVDeep LearningYOLOv5+2
Precision Slicing for Enhanced Defect Detection in High-Resolution Wind Turbine Blade Imagery
ICyberPhyS 2024Wind TurbineDefect DetectionImage SlicingHigh Resolution+1
Distributed Intelligent System Architecture for UAV-Assisted Monitoring of Wind Energy Infrastructure
AdvAIT 2024Distributed SystemsUAVWind EnergyInfrastructure Monitoring+1
Methods of collection, recognition and processing of images obtained using UAVs for detection of specified objects
UAVObject DetectionDeep LearningImage Processing+1
Apple Detection with Occlusions Using Modified YOLOv5-v1
IEEE IDAACS 2023Apple DetectionYOLOv5OcclusionObject Detection+1
A Self-Organized Automated System to Control Unmanned Aerial Vehicles for Object Detection
IntelITSIS 2023UAVSelf-Organized SystemsAutomated ControlObject Detection