Sentence examples for avoid unbalanced from inspiring English sources

The prestressing cables have no anchor points on the reinforced concrete corner elements so as to avoid unbalanced forces.

By this means, the luminance and chrominance will be enhanced proportionally to avoid unbalanced enhancement such as RGB independent channel operation.

To avoid unbalanced values in S p, we decrease the probabilities of some elements if these have been updated too frequently during the RANSAC iterations.

Further, we correlated the substitution rates of rodents with life history traits, such as body mass, lifespan and age at sexual maturity [21] using linear regressions in R. In order to avoid unbalanced data, we collapsed all sampled beavers into one data point for each regression.

Note that in these figures we illustrated results for the primary lesion only to avoid unbalanced representation of subject data.

To avoid unbalanced training sets, every generation all 583 negative training examples are used and 583 positive examples are randomly chosen from the 7,832 positive examples.

Legislators should avoid an unbalanced exercise of security measures, which poses a threat to civil society and privacy.

The scheme is robust in the sense that it can avoid the unbalanced sampling block problem that occurs in existing maximum likelihood-based schemes, which causes large errors in one of the estimates of frequency.

To avoid this unbalanced case in three-level heterogenous network and to save super and advanced nodes from being over penalized, we propose changes in the probability function defined by EDEEC.

The outcome of the match led to debates about the format of qualification tournaments, with the Australian manager Frank Farina and Thompson feeling that preliminary rounds should be introduced to avoid such unbalanced matches, views shared by the international footballing body FIFA.

We analyzed only vertebrate sequences to avoid large unbalanced trees (i.e., only vertebrates have representatives of all NCS subfamilies), which can produce biased results [ 19].