Sensor Data-Driven UAV Anomaly Detection using Deep Learning Approach
Author:
Funder
US National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9652874/9652880/09653036.pdf?arnumber=9653036
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Deeply Integrated Autoencoder-Based Anomaly Detection and Critical Parameter Identification for Unmanned Aerial Vehicle Actuators;IEEE Sensors Journal;2024-08-01
2. Detecting Stealthy GPS Spoofing Attack Against UAVs Using Onboard Sensors;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2024-05-20
3. Deceptive Skies: Leveraging GANs for Drone Sensor Data Falsification;Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing;2024-04-08
4. UAV instantaneous power consumption prediction using LR‐TCN with simple moving average;Concurrency and Computation: Practice and Experience;2023-09-18
5. UAV sensor data applications with deep neural networks: A comprehensive survey;Engineering Applications of Artificial Intelligence;2023-08
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