Browsing by Author "Fesenko, H."

Now showing items 1-3 of 3

Deep learning models for detection of explosive ordnance using autonomous robotic systems: trade-off between accuracy and real-time processing speed

Mishchuk, V.; Fesenko, H.; Kharchenko, V. (KhAI, 2024)

The study focuses on deep learning models for real-time explosive ordnance detection (EO). This study aimed to evaluate and compare the performance of YOLOv8 and RT-DETR object detection models in terms of accuracy and ...
Deployment of a UAV swarm-based LiFi network in the obstacle-ridden environment: algorithms of finding the path for UAV placement

Leichenko, K.; Fesenko, H.; Kharchenko, V.; Illiashenko, O. (KhAI, 2024)

The subject of this study is unmanned aerial vehicle (UAV)-based wireless networks in an obstacle-ridden environment. The aim of this study is to develop methods and software to ensure reliable LiFi communication using ...
Robotic-biological systems for detection and identification of explosive ordnance: concept, general structure, and models

Fedorenko, G.; Fesenko, H.; Kharchenko, V.; Kliushnikov, I.; Tolkunov, I. (ХАІ, 2023)

The subject of this study is systems for detection and identification (D&I) of explosive ordnance (EO). The aim of this study is to develop a concept, general structure, and models of a robotic-biological system for D&I ...