Sentence examples for predictions that consider from inspiring English sources

The proposed approach can be applied to improve the accuracy of trend predictions that consider only the temporal behavior in scenarios where it is possible to recover the connection between the individuals who generate the data (e.g., trend identification of topics discussed in the blogosphere).

In the future, MDB predictions that consider non-canonical paring of miRNA and their targets will be included (24).

Few studies have been conducted on horizontal shifting prediction models that consider block shapes and laying patterns for block pavements.

More sophisticated methods (e.g. thin section analysis) and prediction models that consider concrete curing and meteorological conditions (cf. Fib Bulletin 34) can be used later on if the former predictions look promising.

In this work, the multi-well optimization aeration method (MWOAM) was proposed to select the WS and AR from prediction results that consider gas transport properties by maximizing oxygen storage ratio (OSR) as the key objective threshold.

This does suggest that regional data-based models that integrate urban features (regional typology, building design, and quality of construction) can improve loss prediction models that consider building damage, which is not the case for the reduced-form regression model that considers intensity and the Algerian earthquakes only (Table 7; with adjusted R 2 of 0.43, 0.28, and 0.37, respectively).

However, prediction models that consider longer time periods generally have lower AUC, implying that combinations of higher sensitivity and PPV may not be observed.

There are other function prediction methods that consider coexpression patterns of genes [ 20– 24], 3D structures of proteins [ 25– 34], and interacting proteins in large-scale protein-protein interaction networks [ 35– 40].

Such predictions require material models that consider not only the initial failure but also the responses of severely damaged composites.

It is evident from the graph that the LT-DTD and LT-PD approaches that consider prediction uncertainty achieve lower VM SLA violation levels than the other approaches, with statistical significance, as shown by the ANOVA analysis.

Based on the drawbacks observed in current mobility prediction models, this study has built a new mobility prediction model that considers the limitations described in Figure 2a, b.