Kurmashev I 1

1. Study of the Optimal YOLO Visual Detector Model for Enhancing UAV Detection and Classification in Optoelectronic Channels of Sensor Fusion Systems
2. The Use of Data Mining in the Management of the Career Guidance Work of the University
3. Development and Synthesis of Linguistic Models for Catalytic Cracking Unit in a Fuzzy Environment
4. Advances in UAV detection: integrating multi-sensor systems and AI for enhanced accuracy and efficiency
5. DEVELOPING THE GOOGLENET NEURAL NETWORK FOR THE DETECTION AND RECOGNITION OF UNMANNED AERIAL VEHICLES IN THE DATA FUSION SYSTEM
6. Study of the Possibility to Combine Deep Learning Neural Networks for Recognition of Unmanned Aerial Vehicles in Optoelectronic Surveillance Channels
7. Hydrotreating unit models based on statistical and fuzzy information
8. REVEALING INTRINSIC DIMENSIONALITY PATTERNS IN SEMANTIC SPACES OF NATURAL LANGUAGES USING GRAPH ALGORITHMS
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