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1. Study of the Optimal YOLO Visual Detector Model for Enhancing UAV Detection and Classification in Optoelectronic Channels of Sensor Fusion Systems
2. Advances in UAV detection: integrating multi-sensor systems and AI for enhanced accuracy and efficiency
3. DEVELOPING THE GOOGLENET NEURAL NETWORK FOR THE DETECTION AND RECOGNITION OF UNMANNED AERIAL VEHICLES IN THE DATA FUSION SYSTEM
4. Study of the Possibility to Combine Deep Learning Neural Networks for Recognition of Unmanned Aerial Vehicles in Optoelectronic Surveillance Channels
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