A survey on machine-learning techniques for UAV-based communications

PS Bithas, ET Michailidis, N Nomikos, D Vouyioukas… - Sensors, 2019 - mdpi.com
Unmanned aerial vehicles (UAVs) will be an integral part of the next generation wireless
communication networks. Their adoption in various communication-based applications is …

Detection and classification of UAVs using RF fingerprints in the presence of Wi-Fi and Bluetooth interference

M Ezuma, F Erden, CK Anjinappa… - IEEE Open Journal …, 2019 - ieeexplore.ieee.org
This paper investigates the problem of detection and classification of unmanned aerial
vehicles (UAVs) in the presence of wireless interference signals using a passive radio …

[HTML][HTML] DroneRF dataset: A dataset of drones for RF-based detection, classification and identification

MHDS Allahham, MF Al-Sa'd, A Al-Ali, A Mohamed… - Data in brief, 2019 - Elsevier
Modern technology has pushed us into the information age, making it easier to generate and
record vast quantities of new data. Datasets can help in analyzing the situation to give a …

[PDF][PDF] Emergence of Technological Threats and Opportunities for Nuclear Security in the Digital Age

Y Kalinichenko - Published online, 2019 - conferences.iaea.org
For example, the availability and using of unmanned aircrafts systems (UAS) or drones have
increased significantly in recent years. Today, drones are available in sizes ranging from a …