[HTML][HTML] A review of industrial big data for decision making in intelligent manufacturing

C Li, Y Chen, Y Shang - … Science and Technology, an International Journal, 2022 - Elsevier
Under the trend of economic globalization, intelligent manufacturing has attracted a lot of
attention from academic and industry. Related enabling technologies make manufacturing …

Multi-modal bioelectrical signal fusion analysis based on different acquisition devices and scene settings: Overview, challenges, and novel orientation

J Li, Q Wang - Information Fusion, 2022 - Elsevier
Multi-modal fusion combines multiple modal information to overcome the limitation of
incomplete information expressed by a single modality, so as to realize the complementarity …

Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction

A Ali, Y Zhu, M Zakarya - Neural networks, 2022 - Elsevier
The prediction of crowd flows is an important urban computing issue whose purpose is to
predict the future number of incoming and outgoing people in regions. Measuring the …

Detection algorithm of safety helmet wearing based on deep learning

L Huang, Q Fu, M He, D Jiang… - … and Computation: Practice …, 2021 - Wiley Online Library
In the production and construction of industry, safety accidents caused by unsafe behaviors
of staff often occur. In a complex construction site scene, due to improper operations by …

Genetic algorithm-based trajectory optimization for digital twin robots

X Liu, D Jiang, B Tao, G Jiang, Y Sun… - … in Bioengineering and …, 2022 - frontiersin.org
Mobile robots have an important role in material handling in manufacturing and can be used
for a variety of automated tasks. The accuracy of the robot's moving trajectory has become a …

Multi-scale feature fusion convolutional neural network for indoor small target detection

L Huang, C Chen, J Yun, Y Sun, J Tian, Z Hao… - Frontiers in …, 2022 - frontiersin.org
The development of object detection technology makes it possible for robots to interact with
people and the environment, but the changeable application scenarios make the detection …

Automatic human posture estimation for sport activity recognition with robust body parts detection and entropy markov model

A Nadeem, A Jalal, K Kim - Multimedia Tools and Applications, 2021 - Springer
Automated human posture estimation (A-HPE) systems need delicate methods for detecting
body parts and selecting cues based on marker-less sensors to effectively recognize …

Low-illumination image enhancement algorithm based on improved multi-scale Retinex and ABC algorithm optimization

Y Sun, Z Zhao, D Jiang, X Tong, B Tao… - … in Bioengineering and …, 2022 - frontiersin.org
In order to solve the problems of poor image quality, loss of detail information and excessive
brightness enhancement during image enhancement in low light environment, we propose a …

Self-tuning control of manipulator positioning based on fuzzy PID and PSO algorithm

Y Liu, D Jiang, J Yun, Y Sun, C Li, G Jiang… - … in Bioengineering and …, 2022 - frontiersin.org
With the manipulator performs fixed-point tasks, it becomes adversely affected by external
disturbances, parameter variations, and random noise. Therefore, it is essential to improve …

Manipulator grabbing position detection with information fusion of color image and depth image using deep learning

D Jiang, G Li, Y Sun, J Hu, J Yun, Y Liu - Journal of Ambient Intelligence …, 2021 - Springer
In order to ensure stable grip** performance of manipulator in a dynamic environment, a
target object grab setting model based on the candidate region suggestion network is …