Intelligent Threat Determination and PM in Unmanned Aerial Vehicles: A Review of Deep Learning Perspectives

This study delves into the impact of Deep Learning (DL) on UAV advancements from 2015 to 2025, focusing on early threat detection, anomaly recognition, and Predictive Maintenance (PM). By reviewing state-of-the-art DL models, we assess their role in mitigating cybersecurity threats, detecting flight...

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Bibliographic Details
Main Authors: Sajjad, Ahmed, Ahmad Nizar, Yaakub, Syahrul Nizam, Junaini
Format: Article
Language:en
Published: World Scientific Publishing Co Pte Ltd 2025
Subjects:
Online Access:http://ir.unimas.my/id/eprint/51304/1/Intelligent%20Threat%20Determination.pdf
http://ir.unimas.my/id/eprint/51304/
https://www.worldscientific.com/doi/10.1142/S2301385027300022?srsltid=AfmBOoqfh04-8AKyrE_5nfp6nokLN5Dpxn2Bf2xdgCBDcU5kH12rLdIq
https://doi.org/10.1142/S2301385027300022
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