Terahertz (THz) band (0.1-10 THz) communications shows a huge potential for the prospective beyond 5G and 6G wireless systems, as the band offers large bandwidth and …
ABSTRACT Title: Tensor Based Machine Learning Frameworks for Intrusion Detection in the Physical and Network Layers of Cyber-Physical Systems Author: João Paulo Abreu …
YU Ningning, MAO Shengjian, Z Chengwei… - 电子与信息学报, 2024 - jeit.ac.cn
A large-scale dataset of drone radio frequency signals, namely DroneRFa, is constructed to research and develop anti-drone detection and recognition technologies. This dataset uses …
In the last years, the use of Unmanned Aerial Vehicles (UAVs), aka drones, has grown immensely, evolving from single-UAV services to collaborative domains. Hence, the Internet …
Incidents such as the 2018 shut down of Gatwick Airport due to a small Unmanned Aerial System (UAS) airfield incursion, have shown that we don't have routine and consistent …
J Sun, Z Ji, H Li, Y Chang, Y Xue… - 2023 7th …, 2023 - ieeexplore.ieee.org
With the rapid development of unmanned aerial vehicle (UAV) technology, UAV signal recognition has become a hot research direction in the field of wireless communication at …
ZY Fan, W Cheng - 2021 IEEE 6th International Conference on …, 2021 - ieeexplore.ieee.org
The Radio frequency fingerprinting (RFF) identification aims at performing feature measurement on received signal and then determines the emitter individual. Most RFF …
S Glüge, M Nyfeler, N Ramagnano… - … (IJCCI), Rome, Italy …, 2023 - digitalcollection.zhaw.ch
As the number of unmanned aerial vehicles (UAVs) in the sky increases, safety issues have become more pressing. In this paper, we compare the performance of convolutional neural …
H Nieuwoudt, J Welgemoed… - … on Mechanical and …, 2023 - ieeexplore.ieee.org
The deployment of UAVs (Unmanned Aerial Vehicles) is becoming a standard practice to perform routine/labour-intensive tasks. These tasks include surveillance, construction …