[HTML][HTML] Long-short-term-memory-based deep stacked sequence-to-sequence autoencoder for health prediction of industrial workers in closed environments based …
To reduce the risks and challenges faced by frontline workers in confined workspaces,
accurate real-time health monitoring of their vital signs is essential for improving safety and …
accurate real-time health monitoring of their vital signs is essential for improving safety and …
Multi‐source data‐driven approach for prediction of melt density during polymer compounding
BB Zhang, ZY Chen, F Zhang… - Polymer Engineering & …, 2024 - Wiley Online Library
Melt density is a crucial quality indicator for polymer composites, yet real‐time measurement
remains challenging due to processing complexities. While existing machine learning …
remains challenging due to processing complexities. While existing machine learning …
Online Big-Data Monitoring and Assessment Framework for Internal Combustion Engine with Various Biofuels
As the primary power source for automobiles, the internal combustion (IC) engines have
been widely used and served millions of people worldwide. With increasingly stringent …
been widely used and served millions of people worldwide. With increasingly stringent …
Advancing Composite Manufacturing through the Swin Composite Sync 4.0 Data Acquisition System: A Pathway to Industry 4.0 Excellence
HB Kaptan, R Radjef, B Eisenbart - 2023 IEEE Engineering …, 2023 - ieeexplore.ieee.org
Data acquisition systems are pivotal components of modern manufacturing, particularly in
the context of Industry 4.0. This paper discusses the significance of data acquisition systems …
the context of Industry 4.0. This paper discusses the significance of data acquisition systems …