Sentence examples for nodes to predict from inspiring English sources

The proposed thermal model estimates the outlet air temperature of the nodes to predict cooling costs.

In some scenarios, these two points may not be available for the nodes to predict the future positions of their neighbors.

In this study, for the first time, we examine the use of links between a pair of nodes to predict their common neighbors and analyze the relationship between the weight and the structure in static networks, evolving networks, and in the corresponding randomized networks.

[25] (https://www.adjuvantonline.com) uses patient age, comorbidity level, ER status, tumor grade, tumor size and number of positive lymph nodes to predict 10-year risk for breast cancer mortality.

We set certain disease nodes as the seeds and ranked all the gene nodes to predict their association with the given diseases.

Then matrix factorization is applied at each node to predict the missing ratings.

Roughly, each sensor independently considers information which is expected to be available at the sink node to predict a future measured value and this in turn is used to compute the inactivity period (the interval while the node stays in sleep mode) of a given node S i.

We hypothesize that the methods that will improve using capDSD versus just caDSD are those that use only some sort of information about the local neighborhood of a node to predict its function; here, making pathways 'closer' with highways is helpful, whereas the amount of distortion in augmenting the graph causes too much noise for more global methods such as multi-way cut.

These techniques promise to allow associating local information with driver/observation nodes and to predict global properties from limited available data.

cThe regulated reactions were converted in a causality graph to model the variations in the amounts of molecules, fluxes and reaction speeds (nodes), and to predict their consequences (edges).

Our work is novel in that we utilize the past node trajectories to predict the future co-movement of nodes for data-centric storage in mobile environments.