| AI |
artificial intelligence |
| AMI |
Amazon Machine Image |
| CI/CD |
continuous integration/continuous delivery |
| CRISP-DM |
CRoss Industry Standard Process for Data Mining |
| CRISP-ML |
CRoss Industry Standard Process for Machine Learning |
| DevOps |
compound of development and operations |
| DMG |
Data Mining Group |
| DoE |
design of the experiment |
| EDA |
exploratory data analysis |
| ERP |
enterprise resource planning |
| FT-IR |
Fourier-transform infrared spectroscopy |
| HSE |
health and safety executive |
| IoT |
internet of things |
| KPIs |
key performance indicators |
| LIMS |
laboratory information management system |
| LSS |
lean six sigma |
| ML |
machine learning |
| MLOps |
machine-learning model operationalization management |
| NIPALS |
nonlinear iterative partial least squares |
| OEE |
overall equipment effectiveness |
| PAT |
process analytical technology |
| PC |
personal computer |
| PLSR |
partial least squares regression |
| PMML |
predictive model markup language |
| PoC |
proof of concept |
| PRISMA |
preferred reporting items for systematic reviews and meta-analyses |
| PSE |
process system engineering |
| R
|
correlation coefficient |
| RFR |
random forest regression |
| RMSE |
root-mean-square deviation |
| RPD |
relative percent differences |
| SPC |
statistical process control |
| XGBoost |
extreme gradient boosting |
| 10-cv |
ten-fold cross-validation |