[HTML][HTML] A systematic review of trustworthy artificial intelligence applications in natural disasters
AS Albahri, YL Khaleel, MA Habeeb, RD Ismael… - Computers and …, 2024 - Elsevier
Artificial intelligence (AI) holds significant promise for advancing natural disaster
management through the use of predictive models that analyze extensive datasets, identify …
management through the use of predictive models that analyze extensive datasets, identify …
A review on early wildfire detection from unmanned aerial vehicles using deep learning-based computer vision algorithms
Wildfire is one of the most critical natural disasters that threaten wildlands and forest
resources. Traditional firefighting systems, which are based on ground crew inspection …
resources. Traditional firefighting systems, which are based on ground crew inspection …
[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 …
Deep learning and transformer approaches for UAV-based wildfire detection and segmentation
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 …
lives. Experts predict that wildfires will increase in the coming years mainly due to climate …
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 …
A brief review of machine learning algorithms in forest fires science
Due to the harm forest fires cause to the environment and the economy as they occur more
frequently around the world, early fire prediction and detection are necessary. To anticipate …
frequently around the world, early fire prediction and detection are necessary. To anticipate …
Dual-branch sparse self-learning with instance binding augmentation for adversarial detection in remote sensing images
Remote sensing image analysis technology based on neural networks has significantly
facilitated human life. However, adversarial attacks can drastically impair the performance of …
facilitated human life. However, adversarial attacks can drastically impair the performance of …
Forest fire segmentation from Aerial Imagery data Using an improved instance segmentation model
In recent years, forest-fire monitoring methods represented by deep learning have been
developed rapidly. The use of drone technology and optimization of existing models to …
developed rapidly. The use of drone technology and optimization of existing models to …
A forest fire recognition method using UAV images based on transfer learning
L Zhang, M Wang, Y Fu, Y Ding - Forests, 2022 - mdpi.com
Timely detection of forest wildfires is of great significance to the early prevention and control
of large-scale forest fires. Unmanned Aerial Vehicle (UAV) with cameras has the …
of large-scale forest fires. Unmanned Aerial Vehicle (UAV) with cameras has the …