A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management
Wildfires have emerged as one of the most destructive natural disasters worldwide, causing
catastrophic losses. These losses have underscored the urgent need to improve public …
catastrophic losses. These losses have underscored the urgent need to improve public …
A comprehensive survey on artificial intelligence for unmanned aerial vehicles
Artificial Intelligence (AI) is an emerging technology that finds its application in various
industries. Integration of AI in Unmanned Aerial Vehicles (UAVs) can lead to tremendous …
industries. Integration of AI in Unmanned Aerial Vehicles (UAVs) can lead to tremendous …
Aerial imagery pile burn detection using deep learning: The FLAME dataset
Wildfires are one of the costliest and deadliest natural disasters in the US, causing damage
to millions of hectares of forest resources and threatening the lives of people and animals. Of …
to millions of hectares of forest resources and threatening the lives of people and animals. Of …
Conditional probability based multi-objective cooperative task assignment for heterogeneous UAVs
In actual air combat, there is an inevitable risk that an unmanned aerial vehicle (UAV) will be
destroyed. However, this risk is rarely considered in the mission planning phase. In this …
destroyed. However, this risk is rarely considered in the mission planning phase. In this …
Joint auction-coalition formation framework for communication-efficient federated learning in UAV-enabled internet of vehicles
Due to the advanced capabilities of the Internet of Vehicles (IoV) components such as
vehicles, Roadside Units (RSUs) and smart devices as well as the increasing amount of …
vehicles, Roadside Units (RSUs) and smart devices as well as the increasing amount of …
Joint task assignment and spectrum allocation in heterogeneous UAV communication networks: A coalition formation game-theoretic approach
Coalition structure is an efficient networking architecture for task implementation in
unmanned aerial vehicle (UAV) networks. However, both the formation of coalition and the …
unmanned aerial vehicle (UAV) networks. However, both the formation of coalition and the …
Blockchain-based key management for heterogeneous flying ad hoc network
Unmanned aerial vehicle (UAV) is recognized as one of the best sensing tools for gathering
data in the industrial Internet of things sector. Besides, the flying ad hoc network (FANET) …
data in the industrial Internet of things sector. Besides, the flying ad hoc network (FANET) …
An energy efficient framework for UAV-assisted millimeter wave 5G heterogeneous cellular networks
We study downlink transmission in a multi-band heterogeneous network comprising
unmanned aerial vehicle (UAV) small base stations and ground-based dual mode mmWave …
unmanned aerial vehicle (UAV) small base stations and ground-based dual mode mmWave …
Wildfire monitoring in remote areas using autonomous unmanned aerial vehicles
In this paper, we propose a drone-based wildfire monitoring system for remote and hard-to-
reach areas. This system utilizes autonomous unmanned aerial vehicles (UAVs) with the …
reach areas. This system utilizes autonomous unmanned aerial vehicles (UAVs) with the …
Distributed cooperative spectrum sharing in UAV networks using multi-agent reinforcement learning
A Shamsoshoara, M Khaledi, F Afghah… - 2019 16th IEEE …, 2019 - ieeexplore.ieee.org
In this paper, we develop a distributed mechanism for spectrum sharing among a network of
unmanned aerial vehicles (UAV) and licensed terrestrial networks. This method can provide …
unmanned aerial vehicles (UAV) and licensed terrestrial networks. This method can provide …