Forest fires are becoming increasingly common, and they are devastating, fueled by the
effects of global warming, such as a dryer climate, dryer vegetation, and higher …

Comprehensive and exceedingly precise centralized patient monitoring has become
essential to advance predictive, preventive, and efficient patient care in contemporary …

Detecting small targets and handling target occlusion and overlap are critical challenges in
weld defect detection. In this paper, we propose the S-YOLO model, a novel weld defect …

Achieving fully autonomous driving requires not only understanding the current surrounding
conditions but also predicting how objects that could lead to potential risks may change in …

A novel deep learning-based visual servoing architecture “DLVS” is proposed for control of
an unmanned aerial vehicle (UAV) capable of quasi-stationary flight with a camera mounted …

Sign language is an extremely important communication tool for many deaf and mute
people. So we proposed a model to recognize sign gestures using YOLOv5 (You only look …

The processing of images by a convolutional neural network will lead to the loss of image
information. Downsampling operation within the network is the main reason for the loss. To …

Energy efficiency is a crucially raised issue in the transportation sector. Moreover, recent
technological advancements have brought attention to autonomous driving systems, which …

The issue of worker safety at construction sites has become increasingly prominent within
the construction industry. Safety helmet usage has been shown to reduce accidents among …

Sleeping on the back after 28 weeks of pregnancy has recently been associated with giving
birth to a small-for-gestational-age infant and late stillbirth, but whether a causal relationship …