
SCEJ 89th Annual Meeting
March 18 (Mon) - 20 (Wed), 2024
Nakamozu Campus, Osaka Metropolitan University
Japanese page
Most recent update: 2024-08-12 19:59:01
The keywords that frequently used 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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