[HTML][HTML] Green internet of things using UAVs in B5G networks: A review of applications and strategies
Abstract Recently, Unmanned Aerial Vehicles (UAVs) present a promising advanced
technology that can enhance people life quality and smartness of cities dramatically and …
technology that can enhance people life quality and smartness of cities dramatically and …
[HTML][HTML] Exploring artificial intelligence for applications of drones in forest ecology and management
This paper highlights the significance of Artificial Intelligence (AI) in the realm of drone
applications in forestry. Drones have revolutionized various forest operations, and their role …
applications in forestry. Drones have revolutionized various forest operations, and their role …
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 …
Wildland fire detection and monitoring using a drone-collected RGB/IR image dataset
Current forest monitoring technologies including satellite remote sensing, manned/piloted
aircraft, and observation towers leave uncertainties about a wildfire's extent, behavior, and …
aircraft, and observation towers leave uncertainties about a wildfire's extent, behavior, and …
Drones' edge intelligence over smart environments in B5G: Blockchain and federated learning synergy
Edge Intelligence is an emerging technology which has attracted significant attention. It
applies Artificial Intelligence (AI) closer to the network edge for supporting Beyond fifth …
applies Artificial Intelligence (AI) closer to the network edge for supporting Beyond fifth …
Ic-gan: An improved conditional generative adversarial network for rgb-to-ir image translation with applications to forest fire monitoring
SPH Boroujeni, A Razi - Expert Systems with Applications, 2024 - Elsevier
This paper introduces a novel Deep Learning (DL) architecture for inferring temperature
information from aerial true-color RGB images by transforming them into Infrared Radiation …
information from aerial true-color RGB images by transforming them into Infrared Radiation …
Autonomous unmanned aerial vehicles in bushfire management: Challenges and opportunities
The intensity and frequency of bushfires have increased significantly, destroying property
and living species in recent years. Presently, unmanned aerial vehicle (UAV) technology …
and living species in recent years. Presently, unmanned aerial vehicle (UAV) technology …
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 …
Skyward bound: Empowering disaster resilience with multi-UAV-assisted B5G networks for enhanced connectivity and energy efficiency
It is not uncommon that cellular communication infrastructures will likely be in a failure state
when disaster strikes, eg, floods, earthquakes, and forest fires. Therefore, developing an …
when disaster strikes, eg, floods, earthquakes, and forest fires. Therefore, developing an …
Multi-UAV planning for cooperative wildfire coverage and tracking with quality-of-service guarantees
In recent years, teams of robot and Unmanned Aerial Vehicles (UAVs) have been
commissioned by researchers to enable accurate, online wildfire coverage and tracking …
commissioned by researchers to enable accurate, online wildfire coverage and tracking …