Graph Neural Networks for Chemical Process Fault Diagnosis Based on Hybrid Variable Feature Learning
Abstract: Graph-based data representation allows us to take into account not only the behavior of each sensor signal but also the correlations and hidden relationships between them. Therefore, using ...
Discover how quality control charts help track product standards, pinpoint issues, and ensure processes meet specifications with this essential tool for quality assurance.
Abstract: In this study, we address the problem of unnecessary computations in traditional continuous subgraph matching (CSM) frameworks due to premature expansions of the search space in dynamic ...
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