A swarm anomaly detection model for IoT UAVs based on a multi-modal denoising autoencoder and federated learning

Author:

Lu Yu,Yang Tao,Zhao Chong,Chen Wen,Zeng Rong

Publisher

Elsevier BV

Reference39 articles.

1. Deep learning-based anomaly detection for individual UAV vehicles performing swarm missions[J];Ahn;Expert Systems with Applications,2024

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3. Al Amir, N., Marar, A., & Saeed, M. (2018) Eye in the sky: how the rise of UAVs will transfrom the oil & gas industry. In: Abu Dhabi international petroleum exhibition and conference. OnePetro.

4. Swarm robots in mechanized agricultural operations: A review about challenges for research[J];Albiero;Computers and Electronics in Agriculture,2022

5. A novel technique to assess UAV behavior using PCA-based anomaly detection algorithm[J];Alos;International Journal of Mechanical Engineering and Robotics Research,2020

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