Abstract: A stochastic finite-difference time-domain approach for analyzing geometrical and media uncertainty is described. The proposed method can convert the geometry uncertainties into media ...
Attention-Driven Supervised Dynamic Latent Variable Models for Monitoring Dynamic Industrial Process
Abstract: The accurate measurement and monitoring of quality variables are crucial for optimizing productivity and efficiency in industrial processes. However, many existing data-driven methods fail ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback