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Thus, different from the widely used artificial neural networks based prediction approaches which require large historical data for data modeling and training [43], the presented prediction method results in acceptable hardware cost and it is applicable for the data estimation of on-line applications [4, 9, 39].
In short, it can be concluded that the research model is applicable for the data.
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An output-based objective function is adopted for the proposed SMPTC so that the controller could be directly applicable for the data-driven model.
All such source adaptors inherit and extend generic functionality, namely the data retrieval methods that are applicable for the new data set (e.g. features or sequence).
The statistical approach proved applicable for analysing the data objectively.
The CFD results validation and reporting methods applicable for the benchmark data are proposed.
This approach is not directly applicable for the big data streams anonymization.
Therefore, it is valid that Chi-squared test combined with binomial test is applicable for the study data sets.
Recently, the breast cancer data sets have been imbalanced (i.e., the number of survival patients outnumbers the number of non-survival patients) whereas the standard classifiers are not applicable for the imbalanced data sets.
The results indicate that the acute-to-chronic extrapolation approach is applicable for the subset of data and not associated with increased uncertainties compared to the complete dataset.
However, while the LT-interval is quite robust to unbalanced smple sizes and also applicable for ordinal data, the Wald intervals cannot be recommended for very unbalanced or ordinal data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com