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Feedback gains are selected on the basis of realistic actuator models with limited bandwidths.
Results suggest that models with limited predictor pools can substitute other predictors to compensate for the missing variables.
For the quick development of models with limited expert-knowledge the models are integrated in an extensible model library.
The performance of the coupled models with limited streamflow data is encouraging and can potentially improve the estimation of low flow statistics at sites with limited streamflow data.
Two regression approaches, the spatial error model and regression-kriging, are advanced as appropriate methods and compared to simpler but widely used regression models with limited spatial fidelity.
Currently two pretreatment prognostic models with limited accuracy (65 67%) can be used to predict survival in patients with localized renal cell carcinoma (RCC).
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Building any predictive model with limited experimental evidence, such as HLA-induced ADR models, severely limits the model's reliability and applicability domain.
These products range from a traditional indemnity program with total open access, to a gatekeeper Health Maintenance Organization (HMO) model with limited benefits and limited network access.
The experiment showed that the use of 4D CAD model, with limited time resources, provide to access almost twice bigger efficiency.
It is one approach that can be used to construct a model with limited samples to provide better forecasting advantage for long-term problems.
While Surf Air may be the first to adopt an all-you-can-fly fee structure on small aircraft on a narrow list of routes, others have tried elements of this model with limited success.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com