ADASS: Anti-Drone Audio Surveillance Sentinel via Embedded Machine Learning
Author:
Affiliation:
1. University of Padova,Department of Mathematics,Padua,Italy
2. University of Padova,Department of Information Engineering,Padua,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10253663/10253664/10254008.pdf?arnumber=10254008
Reference27 articles.
1. Machine Learning Inspired Efficient Audio Drone Detection using Acoustic Features
2. Audio Based Drone Detection and Identification using Deep Learning
3. Robust Drone Detection for Acoustic Monitoring Applications
4. Audio-Based Drone Detection and Identification Using Deep Learning Techniques with Dataset Enhancement through Generative Adversarial Networks
5. Sok-security and privacy in the age of drones: threats, challenges, solution mechanisms, and scientific gaps;nassi;ArXiv Preprint,2019
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4. Lightweight UAV Propeller Fault Detection Through Audio Signals Measurements;2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2024-05-20
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