Considering that the reduced model has the same physical meanings of the input and output variables to the original area model, an area power system stabilizer (PSS) is designed using the output-feedback control method based on the reduced model.
To achieve that, we further assume that more points will be used to model an area with lower spatial correlation, such that the elevation at a given location can be interpolated or extrapolated with neighboring anchors with sufficient accuracy.
To investigate the formation of infection patterns in plants we model an area of plant tissue on a grid.
The area under the ROC curve is a measure of the accuracy of a model, such that the higher the area, the more accurate is the model (an area of 1 represents a perfect fit, and an area of 0.5 represents no predictive value).
Model comparison for mixed-effects models is an area of ongoing research.
Applying learning techniques to acquire action models is an area of intense research interest.
However, aspect-oriented code generation from models is an area that is currently underdeveloped.
The bedding planes were simulated by embedding smooth joint models within an area of certain thickness.
Recently published machine learning models achieved an area under receiver operating characteristic curve (AUC) around 0.85 0.95 for Class I HLAs and 0.75 0.85 for Class II HLAs.
