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] Fire and smoke detection from videos: A literature review under a novel taxonomy
The recent development of deep learning based fire detection techniques and the
availability of smart cameras able to execute these algorithms on the edge paved the way for …
availability of smart cameras able to execute these algorithms on the edge paved the way for …
A modified YOLOv5 architecture for efficient fire detection in smart cities
Fire disasters are considered to be among the most harmful hazards, causing fatalities,
ecological and economic chaos, property damage, and they can even impact climate …
ecological and economic chaos, property damage, and they can even impact climate …
An effective attention-based CNN model for fire detection in adverse weather conditions
Worldwide, fire disasters cause social, economic, and environmental damage, so their early
detection and instant response is crucial for saving lives and property, which is possible via …
detection and instant response is crucial for saving lives and property, which is possible via …
FSDF: A high-performance fire detection framework
H Zhao, J **, Y Liu, Y Guo, Y Shen - Expert Systems with Applications, 2024 - Elsevier
Fire detection is crucial in the protection of human life and property. Traditional
methodologies and deep learning techniques have been extensively employed in this area …
methodologies and deep learning techniques have been extensively employed in this area …
Combining the transformer and convolution for effective brain tumor classification using MRI images
In the world, brain tumor (BT) is considered the major cause of death related to cancer,
which requires early and accurate detection for patient survival. In the early detection of BT …
which requires early and accurate detection for patient survival. In the early detection of BT …
Attention enhanced machine instinctive vision with human-inspired saliency detection
Salient object detection (SOD) enables machines to recognize and accurately segment
visually prominent regions in images. Despite recent advancements, existing approaches …
visually prominent regions in images. Despite recent advancements, existing approaches …
Multi-techniques for analyzing x-ray images for early detection and differentiation of pneumonia and tuberculosis based on hybrid features
An infectious disease called tuberculosis (TB) exhibits pneumonia-like symptoms and traits.
One of the most important methods for identifying and diagnosing pneumonia and …
One of the most important methods for identifying and diagnosing pneumonia and …
Solar power prediction using dual stream CNN-LSTM architecture
The integration of solar energy with a power system brings great economic and
environmental benefits. However, the high penetration of solar power is challenging due to …
environmental benefits. However, the high penetration of solar power is challenging due to …
Deep Learning‐Based Wildfire Image Detection and Classification Systems for Controlling Biomass
Forests are essential natural resources that directly impact the ecosystem. However, the
rising frequency of forest fires due to natural and artificial climate change has become a …
rising frequency of forest fires due to natural and artificial climate change has become a …