Towards the unmanned aerial vehicles (UAVs): A comprehensive review

SAH Mohsan, MA Khan, F Noor, I Ullah, MH Alsharif - Drones, 2022 - mdpi.com
Recently, unmanned aerial vehicles (UAVs), also known as drones, have come in a great
diversity of several applications such as military, construction, image and video map** …

Unmanned aerial vehicles (UAVs): Practical aspects, applications, open challenges, security issues, and future trends

SAH Mohsan, NQH Othman, Y Li, MH Alsharif… - Intelligent Service …, 2023 - Springer
Recently, unmanned aerial vehicles (UAVs) or drones have emerged as a ubiquitous and
integral part of our society. They appear in great diversity in a multiplicity of applications for …

Decentralized edge intelligence: A dynamic resource allocation framework for hierarchical federated learning

WYB Lim, JS Ng, Z **ong, J **, Y Zhang… - … on Parallel and …, 2021 - ieeexplore.ieee.org
To enable the large scale and efficient deployment of Artificial Intelligence (AI), the
confluence of AI and Edge Computing has given rise to Edge Intelligence, which leverages …

6G enabled smart infrastructure for sustainable society: Opportunities, challenges, and research roadmap

AL Imoize, O Adedeji, N Tandiya, S Shetty - Sensors, 2021 - mdpi.com
The 5G wireless communication network is currently faced with the challenge of limited data
speed exacerbated by the proliferation of billions of data-intensive applications. To address …

Towards federated learning in uav-enabled internet of vehicles: A multi-dimensional contract-matching approach

WYB Lim, J Huang, Z **ong, J Kang… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Coupled with the rise of Deep Learning, the wealth of data and enhanced computation
capabilities of Internet of Vehicles (IoV) components enable effective Artificial Intelligence …

Urban traffic monitoring and analysis using unmanned aerial vehicles (UAVs): A systematic literature review

EV Butilă, RG Boboc - Remote Sensing, 2022 - mdpi.com
Unmanned aerial vehicles (UAVs) are gaining considerable interest in transportation
engineering in order to monitor and analyze traffic. This systematic review surveys the …

Advances of UAVs toward future transportation: The state-of-the-art, challenges, and opportunities

A Gupta, T Afrin, E Scully, N Yodo - Future transportation, 2021 - mdpi.com
The adoption of Unmanned Aerial Vehicles (UAVs) in numerous sectors is projected to grow
exponentially in the future as technology advances and regulation evolves. One of the …

Smart traffic monitoring system using unmanned aerial vehicles (UAVs)

NA Khan, NZ Jhanjhi, SN Brohi, RSA Usmani… - Computer …, 2020 - Elsevier
Road traffic accidents are one of the leading causes of deaths and injuries in the word
resulting in the not only loss of precious human lives but also affect the economic resources …

Unmanned aerial vehicle communications for civil applications: A review

M Ghamari, P Rangel, M Mehrubeoglu… - IEEE …, 2022 - ieeexplore.ieee.org
The use of drones, formally known as unmanned aerial vehicles (UAVs), has significantly
increased across a variety of applications over the past few years. This is due to the rapid …

Vehicle detection from UAV imagery with deep learning: A review

A Bouguettaya, H Zarzour, A Kechida… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Vehicle detection from unmanned aerial vehicle (UAV) imagery is one of the most important
tasks in a large number of computer vision-based applications. This crucial task needed to …