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This survey comprehensively reviews unmanned aerial vehicles (UAVs) detection and classification using machine learning (ML) and deep learning (DL) approaches, highlighting their advantages, challenges, and future research directions. It covers various detection technologies including radio frequency, visual data, acoustic signals, and radar, while also discussing hybrid sensor and reinforcement learning-based methods. The document provides extensive dataset information and critical analysis of existing lit

Author

Milad Vahedu

Language

EN