[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 …

[HTML][HTML] Deep learning approaches for wildland fires remote sensing: Classification, detection, and segmentation

R Ghali, MA Akhloufi - Remote Sensing, 2023 - mdpi.com
The world has seen an increase in the number of wildland fires in recent years due to
various factors. Experts warn that the number of wildland fires will continue to increase in the …

[HTML][HTML] Deep learning and transformer approaches for UAV-based wildfire detection and segmentation

R Ghali, MA Akhloufi, WS Mseddi - Sensors, 2022 - mdpi.com
Wildfires are a worldwide natural disaster causing important economic damages and loss of
lives. Experts predict that wildfires will increase in the coming years mainly due to climate …

[HTML][HTML] A wildfire smoke detection system using unmanned aerial vehicle images based on the optimized YOLOv5

M Mukhiddinov, AB Abdusalomov, J Cho - Sensors, 2022 - mdpi.com
Wildfire is one of the most significant dangers and the most serious natural catastrophe,
endangering forest resources, animal life, and the human economy. Recent years have …

[HTML][HTML] Bio-inspired optimization-based path planning algorithms in unmanned aerial vehicles: A survey

S Poudel, MY Arafat, S Moh - Sensors, 2023 - mdpi.com
Advancements in electronics and software have enabled the rapid development of
unmanned aerial vehicles (UAVs) and UAV-assisted applications. Although the mobility of …

[HTML][HTML] Deep learning approaches for wildland fires using satellite remote sensing data: Detection, mapping, and prediction

R Ghali, MA Akhloufi - Fire, 2023 - mdpi.com
Wildland fires are one of the most dangerous natural risks, causing significant economic
damage and loss of lives worldwide. Every year, millions of hectares are lost, and experts …

[HTML][HTML] Scalable and cooperative deep reinforcement learning approaches for multi-UAV systems: A systematic review

F Frattolillo, D Brunori, L Iocchi - Drones, 2023 - mdpi.com
In recent years, the use of multiple unmanned aerial vehicles (UAVs) in various applications
has progressively increased thanks to advancements in multi-agent system technology …

[HTML][HTML] FL-YOLOv7: a lightweight small object detection algorithm in forest fire detection

Z Xiao, F Wan, G Lei, Y Xiong, L Xu, Z Ye, W Liu… - Forests, 2023 - mdpi.com
Given the limited computing capabilities of UAV terminal equipment, there is a challenge in
balancing the accuracy and computational cost when deploying the target detection model …

[HTML][HTML] Reinforcement learning for swarm robotics: An overview of applications, algorithms and simulators

MA Blais, MA Akhloufi - Cognitive Robotics, 2023 - Elsevier
Robots such as drones, ground rovers, underwater vehicles and industrial robots have
increased in popularity in recent years. Many sectors have benefited from this by increasing …

Use of unmanned aerial systems in outdoor firefighting

BY Lattimer, X Huang, MA Delichatsios, YA Levendis… - Fire Technology, 2023 - Springer
The use of unmanned aerial systems (UAS) by the fire service is becoming more common,
especially for large outdoor fires where it is difficult to understand the state of the fire …