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by
Si, Bing, author.
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health care and develop novel statistical models and machine learning algorithms to tackle these problems
by
Lee, Taewook, author.
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characterization of model uncertainty involved in the system models is also an essential step. The system models
by
Wilcox, Bruce A., author.
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series to generative models and the assignment of time series to these generative models. The approach of
by
Alizadeh, Yasser, author.
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exploratory simulation of large and complex FCM models, and for data visualization. They can be utilized to
by
Vardaman, Nathan James, author.
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verification of the models accuracy. Finally, the model is utilized by simulating and studying the effect of
by
Corson, James, author. (orcid)0000-0003-1982-4029
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are more accurate than the empirical models currently available in the literature.
by
Chati, Yashovardhan Sushil, author.
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-driven, statistical models of fuel burn. The parameters of interest are the instantaneous fuel flow rate (that is, the
by
Acker, Matthew R., author.
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numerical models and low order empirical models in order to evaluate the interaction between wind turbines
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Sadowski, Nicholas Barrett, author.
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computer aided design models and iterative finite element analysis. Goals for this design were to create a
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Patnaik, Abhishek, author.
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product certification. Test methods were investigated to develop system level ESD simulation models to
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Sop, Saygin, author.
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registered and aligned CAT models. The thickness at each location was calculated by using multiple factors
by
Rasheed, Nashaat S., author.
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intact biological models.

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