Sentence examples for characterization of features from inspiring English sources

The purpose of this paper is to present an ontological characterization of features that can act as backbone conceptual and computational structure to represent the meaning of feature classes in a clear manner.

These investigations have not only chartered protein, o-glycan and n-glycan profiles across developmental stages within mammalian host, but are also leading to the characterization of features of the surface tegument, the eggshell and excretory secretory proteomes of schistosomes.

The spectroscopic and structural characterization of features of the e-RGO-modified SPEs was investigated using FTIR, Raman spectroscopy, XPS, and EDS.

Furthermore, identification and characterization of features pertaining to unusual consumptions in load pattern data have been done on border points only.

The multiple feature representation, such as detailed in [34], can offer more reliable characterization of features, and therefore cryptosystem based on multiple-palmprint representation can be considered for the extension of this work.

More details are given in Section 4. The mean execution time was 109 s for the extraction of the line segments and 12 s for the extraction and characterization of features using Matlab on a typical Dual Core 2 × 2.50 GHz machine with 2.0 GB RAM.

The initial set of feature point matches usually contains some false matches due to the inaccurate characterization of feature points or the improper matches established in the matching procedure.

This example also reminds us that attempts to provide traditional characterizations of features of explanatory (or at least causal) relationships are by no means confined to philosophers attempts to do this can also be found in machine learning, as in Janzing et al., 2012, and in normative theories of causal judgment proposed by psychologists, as in Lombrozo (2010) and Cheng (2000).

While the performance, generalizability, and significance of the SVM findings would benefit from a large sample size and better feature selection methods [ 48], future studies incorporating large sample are needed to improve characterization of underlying features, as to establishment of a model which could most accurately predict new subjects for better classification.

Characterization of spatiotemporal features of spontaneous [Ca2+]i signaling in chondrocyte of health (ICSR 0) and early OA samples (ICRS 1).

Other complementary, but technically less demanding, methods provide a model-dependent characterization of key features of the landscape.