The efficient detection of the flat jujube in a complex natural environment has great
significance in intelligent agricultural operations. Aiming at the problems of the low detection …

Deep Learning has garnered significant attention in the field of object detection and is
widely used in both industry and everyday life. The objective of this study is to investigate the …

The increasing prevalence of unmanned aerial vehicles (UAVs), commonly known as
drones, has generated a demand for reliable detection systems. The inappropriate use of …

Impurity detection is an important link in the chain of food processing. Taking walnut kernels
as an example, it is difficult to accurately detect impurities mixed in walnut kernels before the …

Underwater object detection is considered as one of the most challenging issues in
computer vision. In this paper, a weighted multi-error information entropy based YOLO (You …

The construction industry has high accident and fatality rates owing to time and cost
pressures as well as hazardous working environments caused by heavy construction …

Weather is essential to human life, but it is difficult to forecast due to its diverse nature. We
evaluated and compared the accuracy of two machine learning algorithms, GRU and …

Currently, wireless communication systems that use radio frequency are commonly
deployed, for example, mobile communication systems, satellite systems, and the Internet of …

Intracranial hematoma due to traumatic brain injury is a serious health concern with rates of
morbidity and mortality that are increasing worldwide. Manual identification is slow, subject …

Due to the unique environment for the underwater imaging, the acquired images are often
blurred, color-distorted, and low-contrast, resulting in low-quality images. Enhancing these …