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Finally, applications of these models are offered.
Various examples of practical applications of these models to experimental drug release data are given.
Applications of these models are ubiquitous and hence proposed to be applied for Semantic Web.
Applications of these models to field data sets published before March 2008 are also analysed.
As an example of applications of these models free vibration frequencies for simply supported rectangular plate are calculated.
Applications of these models to ligand-based virtual screening demonstrate improvements over standard machine learning methods such as random forest and logistic regression.
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Applications of these modeling techniques requires dedicated expertise from safety analysts.
The development and application of these models are discussed in this paper.
In the present study, the application of these models to case-studies was analyzed.
The value and potential application of these models are also addressed.
Examples for the application of these models and their impact on process design are given.
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