[HTML][HTML] Workplace Well-Being in Industry 5.0: A Worker-Centered Systematic Review

FG Antonaci, EC Olivetti, F Marcolin… - Sensors, 2024 - mdpi.com
The paradigm of Industry 5.0 pushes the transition from the traditional to a novel, smart,
digital, and connected industry, where well-being is key to enhance productivity, optimize …

Online human motion analysis in industrial context: A review

T Benmessabih, R Slama, V Havard… - Engineering Applications of …, 2024 - Elsevier
Human motion analysis plays a crucial role in industry 4.0 and, more recently, in industry 5.0
where human-centered applications are becoming increasingly important, demonstrating its …

Neural networks as a tool for pattern recognition of fasteners

ASY Mohammad, AJA Tahseen, S Sotnik, V Lyashenko - 2021 - openarchive.nure.ua
Анотація The work is devoted to the study of pattern recognition features of industrial parts
in individual fasteners' forms. The main types of neural network architectures and their …

Relational graph convolutional network for text-mining-based accident causal classification

Z Chen, K Huang, L Wu, Z Zhong, Z Jiao - Applied Sciences, 2022 - mdpi.com
Accident investigation reports are text documents that systematically review and analyze the
cause and process of accidents after accidents have occurred and have been widely used in …

Artificial intelligence‐based intelligent surveillance for reducing nurses' working hours in nurse–patient interaction: a two‐wave study

K Huang, Z Jiao, Y Cai, Z Zhong - Journal of nursing …, 2022 - Wiley Online Library
Aim To explore the feasibility of applying artificial intelligence in nurse–patient interaction to
assist nurses in gras** patient status and reducing their working hours. Background …

[HTML][HTML] COVID-19 contact tracking based on person reidentification and geospatial data

B Zhang, H Lei, Y Cai, Z Zhong, Z Jiao - Journal of King Saud University …, 2023 - Elsevier
Efficient contact tracing is a crucial step in preventing the spread of COVID-19. However, the
current methods rely heavily on manual investigation and truthful reporting by high-risk …

A Motion Capture Data‐Driven Automatic Labanotation Generation Model Using the Convolutional Neural Network Algorithm

J Yao, Y Chen - Wireless Communications and Mobile …, 2022 - Wiley Online Library
All human movements can be effectively represented with labanotation, which is simple to
read and preserve. However, manually recording the labanotation takes a long time, so …

Action recognition and subsequent in-depth analysis for improving the time efficiency of bimanual industrial work

R Takamido, J Ota - IEEE Access, 2024 - ieeexplore.ieee.org
Although there are numerous studies that have developed human action recognition (HAR)
algorithms, they have mostly focused on accurate recognition of actions; there is a lack of …

Dual-responsive nanosystem based on TGF-β blockade and immunogenic chemotherapy for effective chemoimmunotherapy

X Huang, L Han, R Wang, W Zhu, N Zhang, W Qu… - Drug Delivery, 2022 - Taylor & Francis
The antitumor immune response induced by chemotherapy has attracted considerable
attention. However, the immunosuppressive tumor microenvironment hinders the immune …

Small object detection in UAV image based on slicing aided module

H Zong, H Pu, H Zhang, X Wang… - 2022 IEEE 4th …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) play an increasingly important role in today's life, and
play a pivotal role in many fields such as remote sensing, command, and agriculture. UAVs …