Abstract
Advances in technology have led to innovation in UAVs, often called drones. As a result, the use of a drone, which can threaten civilians, has increased. In order to prevent this, a decentralized UAV detection system was devised. Detection model was established using three models, RNN, CNN, and Dense, with two features including MFCC and Mel-spectrogram. RNN showed the best result with 96% accuracy. As part of a defense system, it was designed decentralized using the ad-hoc network.
Original language | English |
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Pages (from-to) | 147-157 |
Number of pages | 11 |
Journal | JP Journal of Heat and Mass Transfer |
Volume | 21 |
Issue number | Special Issue 2 |
DOIs | |
State | Published - Dec 2020 |
Keywords
- Ad-hoc network
- CNN
- Dense
- RNN
- UAV detection