This paper focuses on the improvement of a left and right hand tracker based on
convolutional neural networks that we previously studied using computer vision related …

This paper focuses on a left and right hand tracker based on convolutional neural networks,
with the goal of opening a new thread and concurrently performing real-time prediction of an …

For image computer vision processing, the reasonable application of machine learning is
crucial. To ensure the effectiveness of machine learning algorithms and their related …

As the number of urban vehicles surges, issues like traffic accidents and air pollution are
becoming increasingly severe. To address these challenges, this paper presents a computer …

As smart manufacturing technologies advance rapidly, precise image recognition of
mechanical components has become increasingly important in various fields such as …

To address the issue of undetected excessive pipeline vibrations in power plant production
areas, leading to pipeline damage or leaks at connecting flanges and valves, we propose an …

The operation of distribution networks is currently facing potential safety and quality defects
that pose significant hazards. One solution to strengthen management, reduce manual …

The use of deep detection networks can help to enhance the management, reduce
workload, and improve the efficiency and quality of dynamic defect detection in distribution …

The Transformer, characterized by its attention-driven encoder-decoder architecture, has
made substantial advancements in the realm of natural language processing and has now …

In the examination of car component failures, conventional manual on-site approaches have
constraints in terms of effectiveness and accessibility. To address these limitations, a flexible …