Sentence examples for application to predict from inspiring English sources

AID is an application to predict strokes and provide first aid guide using visual recognition.

Concerning GLC, they showed good agreement and this confirms the usefulness of a Lagrangian stochastic model in practical application to predict GLC in coastal areas.

It will be worthy to apply this approach in various fields of application to predict the service life of newly developed materials before their commercialization.

The comparison of the theoretical study with the experimental data shows a very good agreement, which suggests its potential application to predict bubble shape during non-equilibrium conditions.

New NIR spectra were then recorded in an on-site non-invasive application to predict the oxidation products of the tapestries on display in the great watching chamber (GWC) and great hall (GH).

Our approach is evaluated using Netflix's server-side distributed RSS reader application to predict failures caused by three representative types of faults: memory leak, system overload, and sudden node crash.

Specifically, the effectiveness of the model's application to predicting and understanding sun-protective behaviour has been demonstrated in Australia [ 18, 20, 23, 24] and internationally [ 17, 19].

This article reviews the development of the mass balance model and its application to predicting indoor pollutant concentrations from cigarette smoke and derives the time-averaged version of the model from the basic laws of conservation of mass.

We demonstrated the potential of RNAMotifModeler by an application to predicting binding specificities of SRSF1 proteins and obtained a reference motif of 'AGAAGAAG' with a parameter matrix including retained binding affinity ratios caused by sequence degeneracy, as well as probabilities for nucleotides being unpaired.

Joseph Sirosh, corporate vice president at Microsoft, who was in charge of the Azure ML, and spent years at Amazon before joining Microsoft to lead this effort, said the platform enables customers and partners to build big data applications to predict, forecast and change future outcomes.

It has been observed that the neural network can learn the correlation between the friction noise, contact force and the surface roughness and could effectively be used in practical applications to predict surface roughness.