Sentence examples for extraction based on the from inspiring English sources
Generally speaking, if the study is hypothesis driven, one should select the acoustic variables of interest prior to their extraction, based on the theoretical background.
The functional characterization of the filters as well as feature extraction based on the raw filter outputs are both considered.
With different positioning (5 25 mm), features extraction based on the complex impedance with PCA (principal component analysis) has been designed for position-independent corrosion evaluation.
A total of 127 articles were retrieved from online sources, of which 56 articles were selected for data extraction based on the specified inclusion criteria.
Second, feature extraction based on the voxel clusters detected by VBM on sMRI and voxel values as volume of interest (VOI) is used.
In order to improve the robustness and accuracy of the feature extraction, an improved Features from Accelerated Segment Test (FAST) feature extraction based on the Random Sample Consensus (RANSAC) method is proposed to remove the mismatched points in this manuscript.
Operationally-defined Fe extractions based on the Tessier method (Fig. 14) give a very different picture of Fe distribution in these sediments compared to the Kostka and Luther extractions (Fig. 10, 11, 12, 13).
We used the accumulation of cercosporin as a visible marker to determine when to collect tissue for RNA extractions based on the hypothesis that genes involved in pathogenesis are induced concomitantly with the induction of cercosporin biosynthesis.
In order to demonstrate the advantage of the MS features extraction based on HHT, the conventional analysis method (Fourier transform) was also used to make a comparison.
That because the feature extraction based on LDA improves the efficiency and accuracy, the two-procedure MI based strong classifier generation mechanism further enhances the precision.
Usually, the realization of HAR includes two steps: the first is feature extraction based on video information; the second is the classification according to feature vectors.
