Sentence examples for acquired classification from inspiring English sources

Once literature was acquired, classification of expression level in the prior studies was taken directly from the wording in the corresponding reference.

The outcome of these experiments are also applicable in terms of directing the user towards a more efficient use of the current instruments (e.g. programming of the spectral channels to be acquired) and classification techniques in forest applications, as well as in the design of future hyperspectral sensors.

As the purpose of this analysis was to determine the effect of the number of scans acquired on classification accuracy, the average of the remaining ASL images were used in both the training and testing phases.

For X, greater explained variance percentages and better classification were acquired; the final classification was carried out by plotting the first and second components of X against each other (Figure 9). Figure 9 First and second components of X-scores against each other.

It was shown that RC-GA provided more compact selected channels, while acquiring higher classification accuracy than the other mentioned algorithms.

Particularly, the parameter setting of 3D Gabor wavelet feature extraction is optimized using memetic algorithm so that discriminative and parsimonious feature set is acquired for accurate classification.

For instance, XRS observations of 433 Eros by NEAR-Shoemaker revealed that the elemental composition of the asteroid from the X-ray spectra is different from the asteroid classification acquired by the optical and infrared spectra (Trombka et al. 2000).

The current results suggest that, at least at 3 T, where the current human data were acquired, the pattern classification approach may be more sensitive than the previously used criterion of sharper frequency selectivity in core AC (Moerel et al. 2012; see below).

This paper presents an embedded sensing system for precisely measuring acceleration and temperature of interest points on a ball screw structure and diagnosis of different ball-screw preloads based on processing acquired signals with further classification using the support vector machine (SVM) method.

Despite these efforts, there remains no widely accepted standard for the classification of acquired cholesteatoma.

Confidence in this classification was acquired by analyzing both our alignment and the crystal structures of these domains.