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Unmanned aerial vehicle communications for civil applications: A review
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 …
increased across a variety of applications over the past few years. This is due to the rapid …
[HTML][HTML] Toward integrated large-scale environmental monitoring using WSN/UAV/Crowdsensing: A review of applications, signal processing, and future perspectives
A Fascista - Sensors, 2022 - mdpi.com
Fighting Earth's degradation and safeguarding the environment are subjects of topical
interest and sources of hot debate in today's society. According to the United Nations, there …
interest and sources of hot debate in today's society. According to the United Nations, there …
[HTML][HTML] Fault-tolerant cooperative navigation of networked UAV swarms for forest fire monitoring
Coordination of unmanned aerial vehicle (UAV) swarms has received significant attention
due to its wide practical applications including search and rescue, cooperative exploration …
due to its wide practical applications including search and rescue, cooperative exploration …
Unmanned aerial vehicles for wildland fires: Sensing, perception, cooperation and assistance
Wildfires represent a significant natural risk causing economic losses, human death and
environmental damage. In recent years, the world has seen an increase in fire intensity and …
environmental damage. In recent years, the world has seen an increase in fire intensity and …
[HTML][HTML] Early wildfire detection technologies in practice—a review
A Mohapatra, T Trinh - Sustainability, 2022 - mdpi.com
As fires grow in intensity and frequency each year, so has the resistance from their anthropic
victims in the form of firefighting technology and research. Although it is impossible to …
victims in the form of firefighting technology and research. Although it is impossible to …
Autonomous tracking using a swarm of UAVs: A constrained multi-agent reinforcement learning approach
In this paper, we aim to design an autonomous tracking system for a swarm of unmanned
aerial vehicles (UAVs) to localize a radio frequency (RF) mobile target. In the system, UAVs …
aerial vehicles (UAVs) to localize a radio frequency (RF) mobile target. In the system, UAVs …
Topology-Aware Resilient Routing Protocol for FANETs: An Adaptive Q-Learning Approach
Flying ad hoc networks (FANETs) play a crucial role in numerous military and civil
applications since it shortens mission duration and enhances coverage significantly …
applications since it shortens mission duration and enhances coverage significantly …
A gated recurrent network with dual classification assistance for smoke semantic segmentation
Smoke has semi-transparency property leading to highly complicated mixture of background
and smoke. Sparse or small smoke is visually inconspicuous, and its boundary is often …
and smoke. Sparse or small smoke is visually inconspicuous, and its boundary is often …
[PDF][PDF] FireCast: Leveraging Deep Learning to Predict Wildfire Spread.
D Radke, A Hessler, D Ellsworth - IJCAI, 2019 - ijcai.org
Destructive wildfires result in billions of dollars in damage each year and are expected to
increase in frequency, duration, and severity due to climate change. The current state-of-the …
increase in frequency, duration, and severity due to climate change. The current state-of-the …
Bio-inspired approaches for energy-efficient localization and clustering in UAV networks for monitoring wildfires in remote areas
In dynamic unmanned aerial vehicle (UAV) networks, localization and clustering are
fundamental functions for cooperative control. In this article, we propose bio-inspired …
fundamental functions for cooperative control. In this article, we propose bio-inspired …