Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …

The fast development of unmanned aerial vehicles (UAVs), commonly known as drones, has
brought a unique set of opportunities and challenges to both the civilian and military sectors …

As a new type of aerial robotics, drones are easy to use and inexpensive, which has
facilitated their acquisition by individuals and organizations. This unequivocal and …

This paper presents a comprehensive survey on anti-drone systems. After drones were
released for non-military usages, drone incidents in the unarmed population are gradually …

Abstract Unmanned Aerial Vehicles (UAV) have revolutionized the aircraft industry in this
decade. UAVs are now capable of carrying out remote sensing, remote monitoring, courier …

Abstract Coronavirus disease (COVID-19) is an infectious disease caused by a newly
discovered coronavirus. It is similar to influenza viruses and raises concerns through …

Unmanned aerial vehicles (UAVs) will be an integral part of the next generation wireless
communication networks. Their adoption in various communication-based applications is …

The market size of civilian drones is tremendously increasing and is expected to reach 1.66
million by the end of 2023. The increase in number of civilian drones poses several privacy …

The primary sources for ecological degradation currently are the Forest Fires (FF). The
present observation frameworks for FF absence need supporting in constant checking of …

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 …