Object detection is a fundamental and impactful area of exploration in computer vision and
video processing, with wide-ranging applications across diverse domains. The advent of the …

To realize the real-time detection of vehicle targets in an edge computing environment, we
improved the YOLOv5Nano (YOLOv5n) model to develop a lightweight, high-precision, and …

With the continuous development and application of traditional Chinese medicine (TCM),
automated recognition and classification of TCM herbs has become increasingly important …

In the field of medical sciences, reliable detection and classification of brain tumors from
images remains a formidable challenge due to the rarity of tumors within the population of …

According to multi-scale targets and overlapping targets in X-ray security inspection images,
this paper proposes a dangerous goods detection algorithm called as YOLOv7-MPCN …

Most current target detection algorithms have problems such as high computational
complexity and poor adaptability, which are difficult to meet actual application requirements …

Advances in medical imaging technologies have led to the generation of large databases
with high-resolution image volumes. To retrieve images with pathology similar to the one …

The current deep learning-based target detection algorithm YOLOv4 has a large number of
redundant convolutional computations, resulting in much consumption of memory and …

One of the problems that often arise during the application of medical research to real life is
the high number of false positive cases. This situation causes experts to be warned with …

The human body comprises various essential organs, including the lungs responsible for
gas exchange during respiration. The prevalence of modern lifestyle and environmental …