Sentence examples for predictions can help from inspiring English sources

The long-term average rating predictions can help online retailers to identify products to promote on their websites as "top picks".

Although the TMH structure predictions can help figuring out the general structure topology of α-helical membrane protein, it is not enough to build the 3D structure of a membrane protein.

Specifically reliable incident duration predictions can help traffic managers in providing correct and essential information to road users, applying appropriate traffic control measures at or near the incident location and evaluating the effectiveness of the incident management strategies implemented.

The knowledge of the input information and the understanding of how it can be handled to make predictions can help to improve the design of current prediction engines, and consequently prefetching techniques.

These predictions can help frame the discussion of preferred global change outcomes and policy mechanisms needed to obtain them.

In such cases, a comparison of secondary structure propensities and transmembrane region predictions can help to assess similarity at a level above the sequence, which may reveal features that are conserved, but not obvious from the alignment itself.

Accurate event participation prediction can help guide more effective event participation, event organization, and community development.

Explicit modeling of this logic, or part of it, for QoS prediction can help improving the effectiveness of QoS management.

Emergency response systems based on more accurate EV prediction can help to allocate the required resources and resolve the emergencies through more rapid and effective risk management.

First, the data preparation process, such as data collection, variable selection, and data cleaning for credit scoring prediction can help reduce noise levels and further enhance the evaluation accuracy of credit risk.

This prediction can help care givers to identify individuals who fall into either of two categories: those who may be currently experiencing abuse but have yet to be diagnosed and those who are not yet experiencing abuse but are at a high risk of being abused in the future.