Most recent update: 2024-08-12 19:59:01
![]() in this topics code. | Keywords | Number | |
---|---|---|---|
Graph Convolutional Networks | 1 | ![]() | |
Multivariate Statistical Process Control | 1 | ![]() | |
soft sensor | 1 | ![]() | |
P&ID | 1 | ![]() | |
chromatographic process | 1 | ![]() | |
Wet Granulation | 1 | ![]() | |
physics-informed neural network | 1 | ![]() | |
parameter estimation | 1 | ![]() | |
Pharmaceutical Continuous Manufacturing | 1 | ![]() |
ACKN No. | Title/Author(s) | Keywords | Style |
---|---|---|---|
44 | A parameter estimation method for chromatographic separation process based on physics-informed neural network | parameter estimation chromatographic process physics-informed neural network | O |
239 | Improved accuracy of MSPC through optimization of scaling factor of multivariable independent of domain knowledge. | Pharmaceutical Continuous Manufacturing Wet Granulation Multivariate Statistical Process Control | O |
614 | PFD-Guided Graph Convolutional Networks for Soft Sensor Modeling in Chemical Process | soft sensor P&ID Graph Convolutional Networks | P |
Organizing Committee of SCEJ 89th Annual Meeting (2024)
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