Sentence examples for segment can be defined from inspiring English sources

The valid lower and upper limits x s ′ ≤ x e ′ of integral function along X axis direction the polishing segment can be defined as: x s ′ = x −, X min ≤ x − ≤ X max, and | y − y p | ≤ R X min, x − ≤ X min ≤ x +, and | y − y p | ≤ R not defined, other (21) x e ′ = x +, X min ≤ x + ≤ X max, and | y − y p | ≤ R X max, x − ≤ X max ≤ x +, and | y − y p | ≤ R not defined, other (22).

The valid lower and upper limits y s ′ ≤ y e ′ of integral function along Y axis direction polishing segment can be defined as: y s ′ = y −, Y min ≤ y − ≤ Y max, and | x − x p | ≤ R Y min, y − ≤ Y min ≤ y +, and | x − x p | ≤ R not defined, other (23) y e ′ = y +, Y min ≤ y + ≤ Y max, and | x − x p | ≤ R Y max, y − ≤ Y max ≤ y +, and | x − x p | ≤ R not defined, other (24).

To avoid artefacts due to very high or very low expression of single genes in the region, the minimum number of over/under-expressed genes that must be present in the segment can be defined.

New, high-potential customer segments can be defined by a common set of important, unsatisfied jobs.

The distance metric of segments can be defined based on the property of function f.

In other cases, the distance metric of segments can be defined based on property of function f.

We propose two new algorithms that use the fact that a digital straight segment (DSS) can be defined by its set of separating lines.

So, a new entity, born from the association of a segment of graphemes and phonemes can be defined, and is called "graphone me)" [4].

From a sociodemographic and epidemiological point of view, this segment does not differ significantly from the others and can be defined as an "evolution" of segment 2. The sociocultural level of this segment and its frequent use of the services indicate that these subjects are knowledgeable of the system (hence, the name "expert patients").

Acoustically homogeneous segments for the environment classification can be defined using frame level n-grams, where n-grams are used to model the prior probabilities of frames based on previously observed ones [28].

Or, more generally, all users who have performed an in-app purchase can be defined as a segment and then encouraged to purchase a new app.