Sentence examples for a function that considers from inspiring English sources

The distribution of bone relative density is obtained by the minimisation of a function that considers both the bone structural stiffness and the biological cost associated with metabolic maintenance of bone tissue.

( {text{f}}_{2} left( {text{t}} right) ) is a function that considers the effect of concrete aging: {text{f}}_{2} left( {text{t}} right) = left( {frac{{{text{t}}_{text{ref}} }}{text{t}}} right)^{{{text{m}}_{text{age}} }} (17 where tref is the time of exposure at which DCl,ref has been measured (tref = 28 days), t is the actual exposure time (days) and mage the age factor.

Particle densities were described by a function that considered two parts of each particle: the resin-core part consisting of resin and inert core-particulates, and the thin resin film part without inert core-particulates.

Wang and Chen [124] propose a cost function that considers the robustness of a schedule regarding the probability of successful execution.

Afterwards, they are evaluated using a fitness function that considers many factors (described below).

Each candidate transformation is further evaluated by a scoring function that considers both geometric fit and atomic desolvation energy.

They proposed a cost function that considers the distances between the textlines and the curvilinearity of each textline.

We present HuMiTar, a computational method for identifying common targets of miRs, which is based on a scoring function that considers base-pairing for both seed and non-seed positions for human miR-mRNA duplexes.

Term mapping in our alignment procedure is evaluated using a score function that considers the similarity of the sets of genes assigned to terms (intrinsic similarity) and the similarity of the ontology hierarchy surrounding each term (relational similarity).

For each attribute, the overall value of a configuration is calculated by an aggregate function that considers the value of the selected features.

In the proposed method, we define an objective function that considers two characteristics, namely, the root mean square and the excess kurtosis, of the target signal.