This paper presents a comprehensive evaluation of YOLO architectures for smoke and
wildfire detection, including YOLOv5, YOLOv6, YOLOv7, YOLOv8, and YOLO-NAS. We aim …

Autonomous vehicles have gained popularity in recent years, but they are still not
compatible with other vulnerable components of the traffic system, including pedestrians …

As the grid coverage rises, foreign objects invade more and more frequently, causing grid
failures to rise every year. To address this issue, this paper proposes a deep learning-based …

There are several benefits to constructing a lightweight vision system that is implemented
directly on limited hardware devices. Most deep learning-based computer vision systems …

Abstract The Malacca Strait region is of strategic importance in terms of global maritime
security between Asia and the Middle East, and between Europe and North America …

Newly built offshore wind farms (OWFs) create a collision risk between ships and
installations. The paper proposes a real-time traffic monitoring method based on machine …

Aiming at the problem of insufficient feature extraction, low precision, and recall in sea
surface ship detection, a YOLOv5 algorithm based on lightweight convolution and attention …

As commercial geospatial intelligence data becomes more widely available, algorithms
using artificial intelligence need to be created to analyze it. Maritime traffic is annually …

With the rapid advancements in computer vision, ship detection models based on deep
learning have been more and more prevalent. However, most network methods use …

Recipe data and user interactions and preferences have been widely studied in food
computing, especially for the recipe recommendation task. One part of these works seeks to …