An improved forest fire detection method based on the detectron2 model and a deep learning approach
With an increase in both global warming and the human population, forest fires have
become a major global concern. This can lead to climatic shifts and the greenhouse effect …
become a major global concern. This can lead to climatic shifts and the greenhouse effect …
A YOLOv6-based improved fire detection approach for smart city environments
Authorities and policymakers in Korea have recently prioritized improving fire prevention
and emergency response. Governments seek to enhance community safety for residents by …
and emergency response. Governments seek to enhance community safety for residents by …
Real-time deep learning-based drowsiness detection: leveraging computer-vision and eye-blink analyses for enhanced road safety
Drowsy driving can significantly affect driving performance and overall road safety.
Statistically, the main causes are decreased alertness and attention of the drivers. The …
Statistically, the main causes are decreased alertness and attention of the drivers. The …
A systematic literature review of visual feature learning: deep learning techniques, applications, challenges and future directions
Abstract Visual Feature Learning (VFL) is a critical area of research in computer vision that
involves the automatic extraction of features and patterns from images and videos. The …
involves the automatic extraction of features and patterns from images and videos. The …
Fire detection and notification method in ship areas using deep learning and computer vision approaches
Fire incidents occurring onboard ships cause significant consequences that result in
substantial effects. Fires on ships can have extensive and severe wide-ranging impacts on …
substantial effects. Fires on ships can have extensive and severe wide-ranging impacts on …
Multimodal emotion detection via attention-based fusion of extracted facial and speech features
Methods for detecting emotions that employ many modalities at the same time have been
found to be more accurate and resilient than those that rely on a single sense. This is due to …
found to be more accurate and resilient than those that rely on a single sense. This is due to …
[HTML][HTML] Mining security assessment in an underground environment using a novel face recognition method with improved multiscale neural network
Overstaffing production in underground coal mining is not convenient for daily management,
and incomplete information of coal miners hinders the rescue process of firefighters during …
and incomplete information of coal miners hinders the rescue process of firefighters during …
Explainable Lightweight Block Attention Module Framework for Network-Based IoT Attack Detection
In the rapidly evolving landscape of internet usage, ensuring robust cybersecurity measures
has become a paramount concern across diverse fields. Among the numerous cyber threats …
has become a paramount concern across diverse fields. Among the numerous cyber threats …
New approach for generating synthetic medical data to predict type 2 diabetes
The lack of medical databases is currently the main barrier to the development of artificial
intelligence-based algorithms in medicine. This issue can be partially resolved by …
intelligence-based algorithms in medicine. This issue can be partially resolved by …
[HTML][HTML] Human face localization and detection in highly occluded unconstrained environments
Significant advancements have been achieved in the field of computer vision pertaining to
the detection of human faces. This technological development holds great potential for a …
the detection of human faces. This technological development holds great potential for a …