Show
Sort by
-
- Journal Article
- A1
- open access
Predicting nitrification status in aerobic membrane bioreactors by interpretable machine learning models : proof of concept for advancing greywater reuse through process monitoring with cross-scenario model validation
-
- Journal Article
- A1
- open access
Development of a wide-range soft sensor for predicting wastewater BOD5 using an eXtreme gradient boosting (XGBoost) machine
-
Deep learning optimization for soft sensing of hard-to-measure wastewater key variables
-
Machine learning refinery sensor data to predict catalyst saturation levels
-
Control of three different continuous pharmaceutical manufacturing processes : use of soft sensors