Purpose In order to enhance the practicability of the application of Magnetic Resonance
Imaging (MRI) in the diagnosis of femoral head necrosis, combined with the convolutional …

Insulator failure is one of the important causes of railway power transmission accidents. In
the automatic detection system of railway insulators, the detection and classification of …

Power line inspection is an important part of the smart grid. Efficient real-time detection of
power devices on the power line is a challenging problem for power line inspection. In …

Human action recognition has become one of the main topics in the computer vision field
due to its high demand and competitiveness in real-world applications. The main goals of …

Dancing is an art form of creative expression that is based on movement. Dancing
comprises varying styles, pacing and composition to convey an artist's expression. Thus, the …

Deep learning (DL) using artificial neural networks has made remarkable progress, fueled
by the utilization of powerful GPUs and the availability of copious online data. This …

Abstract Human Activity Recognition (HAR) covers methods for automatically identifying
human activities from a stream of data. End‐users of HAR methods cover a range of sectors …

Human activity recognition (HAR) is complex in real time because of varying views,
illuminations, backgrounds, and colors. With the current state of the art, deep learning (DL) …

Human posture recognition technology is a research hotspot in the perspective of computer
vision and can be effectively applied to many fields. This paper designs and implements a …

Fatigue is a common problem that often causes drowsiness in individuals. This condition
can have serious repercussions, especially in activities that require high alertness such as …