Surface response models are used to predict the yield.
A correlation is proposed to predict the yield of MWCNTs.
The results show the modified hardening model can predict the yield stress with good accuracy.
Statistically significant models to predict the yield, spray rate, and drying efficiency were generated from the study.
We propose weighted histograms regression to predict the yield of different varieties and compare our method to conventional regression algorithms.
The data collected from the slit die sensors was then used to predict the yield stress of the extruded PLA sheet using machine learning algorithms.
Grain yield of wheat was determined in each plot during two growing seasons, and a crop model was used to predict the yield retrospectively.
Research shows that the design theory proposed in this paper can predict the yield load of PSCWJ accurately and effectively control the ultimate bearing capacity of PSCWJ.
A soft sensor has been designed to accurately predict the yield stress of extruded Polylactide (PLA) sheet inline, during extrusion processing using an instrumented slit die.
The authors in [6] developed a model that can predict the yield of the field at harvest, given the flower density calculated from the captured image.
