Transformer for skeleton-based action recognition: A review of recent advances

W Xin, R Liu, Y Liu, Y Chen, W Yu, Q Miao - Neurocomputing, 2023 - Elsevier
Skeleton-based action recognition has rapidly become one of the most popular and
essential research topics in computer vision. The task is to analyze the characteristics of …

Applications of hyperspectral imaging technology combined with machine learning in quality control of traditional chinese medicine from the perspective of artificial …

Y Pan, H Zhang, Y Chen, X Gong, J Yan… - Critical Reviews in …, 2023 - Taylor & Francis
Traditional Chinese medicine (TCM) is the treasure of China, and the quality control of TCM
is of crucial importance. In recent years, with the quick rise of artificial intelligence (AI) and …

Design and implementation of 3-D measurement method for container handling target

C Mi, S Huang, Y Zhang, Z Zhang… - Journal of Marine Science …, 2022 - mdpi.com
In the process of automatic container terminal loading and unloading, the three-dimensional
attitude of the container affects the security of loading and unloading operations, so the three …

[HTML][HTML] Entropy-based redundancy analysis and information screening

Y Li, J Yang, J Wen - Digital Communications and Networks, 2023 - Elsevier
The ongoing data explosion introduced unprecedented challenges to the information
security of communication networks. As images are one of the most commonly used …

[Retracted] Virtual Reality Action Interactive Teaching Artificial Intelligence Education System

L Jiang - Complexity, 2021 - Wiley Online Library
Comprehensively improving the level of vocational education and teaching quality has
become an important initiative to meet the new round of technological revolution and …

Deep convolution stack for waveform in underwater acoustic target recognition

S Tian, D Chen, H Wang, J Liu - Scientific reports, 2021 - nature.com
In underwater acoustic target recognition, deep learning methods have been proved to be
effective on recognizing original signal waveform. Previous methods often utilize large …

A time-saving path planning scheme for autonomous underwater vehicles with complex underwater conditions

J Yang, J Huo, M Xi, J He, Z Li… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Autonomous underwater vehicle (AUV) shows great potential in the Internet of Underwater
Things (IoUT) system, in which the path planning algorithm plays a fundamental role …

Intelligent path planning of underwater robot based on reinforcement learning

J Yang, J Ni, M Xi, J Wen, Y Li - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As one of the commonly used vehicles for underwater detection, underwater robots are
facing a series of problems. The real underwater environment is large-scale, complex, real …

[HTML][HTML] A digital twins enabled underwater intelligent internet vehicle path planning system via reinforcement learning and edge computing

J Yang, M Xi, J Wen, Y Li, HH Song - Digital Communications and Networks, 2022 - Elsevier
Abstract The Autonomous Underwater Glider (AUG) is a kind of prevailing underwater
intelligent internet vehicle and occupies a dominant position in industrial applications, in …

[Retracted] Personalized Recommendation Model of High‐Quality Education Resources for College Students Based on Data Mining

C Fang, Q Lu - Complexity, 2021 - Wiley Online Library
With the rapid development of information technology and data science, as well as the
innovative concept of “Internet+” education, personalized e‐learning has received …