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 …
[HTML][HTML] Flying free: A research overview of deep learning in drone navigation autonomy
Drones | Free Full-Text | Flying Free: A Research Overview of Deep Learning in Drone
Navigation Autonomy Next Article in Journal Unmanned Autogyro for Mars Exploration: A …
Navigation Autonomy Next Article in Journal Unmanned Autogyro for Mars Exploration: A …
[HTML][HTML] A survey on robotic technologies for forest firefighting: Applying drone swarms to improve firefighters' efficiency and safety
JJ Roldán-Gómez, E González-Gironda, A Barrientos - Applied sciences, 2021 - mdpi.com
Forest firefighting missions encompass multiple tasks related to prevention, surveillance,
and extinguishing. This work presents a complete survey of firefighters on the current …
and extinguishing. This work presents a complete survey of firefighters on the current …
A UAV-assisted data collection for wireless sensor networks: Autonomous navigation and scheduling
Nowadays, Wireless Sensor Networks (WSNs) are playing a vital and sustainable role in
many verticals touching different aspects of our lives including civil, public, and military …
many verticals touching different aspects of our lives including civil, public, and military …
[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 …
increased in popularity in recent years. Many sectors have benefited from this by increasing …
Transfer learning for wildfire identification in UAV imagery
Due to Wildfire's huge destructive impacts on agriculture and food production, wildlife
habitat, climate, human life and ecosystem, timely discovery of fires enable swift response to …
habitat, climate, human life and ecosystem, timely discovery of fires enable swift response to …
A triggerless backdoor attack and defense mechanism for intelligent task offloading in multi-UAV systems
In recent years, multiunmanned aerial vehicular systems (MUAVs) have become prevalent
in divergent applications: agriculture, spectrum utilization, transportation, forest fire …
in divergent applications: agriculture, spectrum utilization, transportation, forest fire …
Fire frontline monitoring by enabling uav-based virtual reality with adaptive imaging rate
Recently, using drones for forest fire management has gained a lot of attention from the
research community due to their advantages such as low operation and deployment cost …
research community due to their advantages such as low operation and deployment cost …
Wildfire spread modeling with aerial image processing
Currently, wildfire spread modeling has drawn a lot of attention from the research community
since many countries are suffering from severe socioeconomic impacts of wildfires, every …
since many countries are suffering from severe socioeconomic impacts of wildfires, every …
A low-power lstm processor for multi-channel brain eeg artifact detection
This paper proposes a low complexity Long Short-Term Memory (LSTM) based neural
network architecture for detecting various artifacts in multi-channel brain EEG signals. Our …
network architecture for detecting various artifacts in multi-channel brain EEG signals. Our …