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The proposed RVSIM method introduces the GM similarity thus improves the assessment of performance.
Section "Utterance reduction with inversion method" introduces the fused HMM inversion model for the utterance reduction.
Therefore, in order to merge such heterogeneous features, the proposed method introduces the multiple kernel scheme into the ordinal regression.
The selection method introduces the characterization of architectural styles and the characteristic charts to visualize their characteristics of architectural styles.
The method introduces the physician experience into the discovery process of FS biomarkers for addressing biological complexity, e.g., disease heterogeneity.
The unstructured grid porous method introduces the porous method to consider the large tube bundles in the calandria.
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"Methods" introduces the empirical case and data analysis plan.
Section Methods introduces the study's data collection and data analysis procedures.
The distance field can be easily incorporated in higher-order mortar methods introducing the notation "segment-to-element integration".
The proposed method introduces redundancies into the signal, analogous to an error correcting code (ECC).
However, the results establish that the method introduces mutations in multiple genes using the same expression cassette.
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