Sentence examples for order descriptors from inspiring English sources

Examples of these methods include IMPACTS [9], which combines docking with a fragment based reactivity approach, and a recently published approach [10] that makes use of a tethered docking methodology using GOLD [11] combined with a reactivity approach based on hydrogen bond order descriptors and a novel implementation of the average local ionisation energy.

Geometric data extracted from planar materialographic sections through image analysis techniques are primarily lower-order descriptors of the microstructure.

Lower-order descriptors are initially used to associate the material microstructure to classes of microstructures stored in a digital material library.

Compared with previous approaches using first-order or second-order descriptors, the novel approach integrates PCA and Combined Approximation (CA) in mechanics, provides more precise presentation of the microstructure and accelerates the optimization and reconstruction of the result microstructure.

Our results show that first-order descriptors, Haralick features (energy, entropy and correlation measured along different angles) and local binary pattern (LBP) energy and entropy were highly linked to the gender, whereas Haralick entropy and symmetry, Galloway texture descriptors and LBP entropy helped to distinguish muscle types.

A total of 53 features (7 first-order descriptors, 24 Haralick features, 20 Galloway features and 2 local binary pattern features) were extracted from each muscle region of interest (ROI) and were used to perform the multivariate linear regression analysis (MANOVA).

The Quasi-Sequence-Order descriptors based from the distance matrix between twenty amino acids as proposed by [29].

The objective of incoherent decompositions is to separate matrix [C] or [T] as a combination of second-order descriptors [C] i or [T] i corresponding to simpler objects: [ C ] = ∑ i = 1 k p i [ C ] i (3).

Section "Face shape description" elaborates the extraction of two types of global highly structured and ordered descriptors of the facial surface.

Finally, we take the K-large magnitude elements in (hat {mathbf {s}}_{i}) as the texture representation, named as top-ranked intensity ordered descriptors (TRIODs).

The quasi-sequence-order descriptors are derived from both the Schneider-Wrede physicochemical distance matrix (Schneider and Wrede, 1994; Chou, 2000; Chou and Cai, 2004) and the Grantham chemical distance matrix (Grantham, 1974) between the 20 amino acids.