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 …
Forest fire detection and notification method based on AI and IoT approaches
K Avazov, AE Hyun, AA Sami S, A Khaitov… - Future Internet, 2023 - mdpi.com
There is a high risk of bushfire in spring and autumn, when the air is dry. Do not bring any
flammable substances, such as matches or cigarettes. Cooking or wood fires are permitted …
flammable substances, such as matches or cigarettes. Cooking or wood fires are permitted …
Improved face detection method via learning small faces on hard images based on a deep learning approach
Most facial recognition and face analysis systems start with facial detection. Early
techniques, such as Haar cascades and histograms of directed gradients, mainly rely on …
techniques, such as Haar cascades and histograms of directed gradients, mainly rely on …
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 …
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 …
Deep learning in cropland field identification: A review
The cropland field (CF) is the basic unit of agricultural production and a key element of
precision agriculture. High-precision delineations of CF boundaries provide a reliable data …
precision agriculture. High-precision delineations of CF boundaries provide a reliable data …
Deep Learning-Based Weed Detection Using UAV Images: A Comparative Study
Semantic segmentation has been widely used in precision agriculture, such as weed
detection, which is pivotal to increasing crop yields. Various well-established and swiftly …
detection, which is pivotal to increasing crop yields. Various well-established and swiftly …
A Systematic Literature Review and Bibliometric Analysis of Semantic Segmentation Models in Land Cover Map**
Recent advancements in deep learning have spurred the development of numerous novel
semantic segmentation models for land cover map**, showcasing exceptional …
semantic segmentation models for land cover map**, showcasing exceptional …
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 …