... framework to optimize two key chemical vapor deposition performance metrics: film deposition rate and thickness uniformity. Design/methodology/approach Building on previous work that benchmarked several machine learning models against computational fluid dynamics ( CFD )–generated data, the XGBoost...

... (30% biodiesel, 10% biogas, 60% Jet A fuel), respectively. All the blends are tested already in the previous study, and the results were trained using the ML models here, and the comparison was made.The machine learning models used were XGBoost, random forest and ridge regression. These models were...

.... An integrated aircraft scheduling model based on eXtreme gradient boosting (XGBoost) model to predict flight delays and an association rule mining (Zhao and Bhowmick, 2003) technology and an improved column generation algorithm are designed, that is, a comprehensive flight plan model established by taking...