The phrase "applications to predicting" is correct and usable in written English.
It can be used when discussing the practical uses or implementations of predictive models or techniques in various fields.
Example: "The applications to predicting consumer behavior have become increasingly important in marketing strategies."
Alternatives: "uses for prediction" or "applications for forecasting".
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.
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.
This is particularly encouraging for development of a generalized approach for future applications to predict host-interaction factors across a broad range of bacterial phytopathogens.
The multiplicity of available applications to predict transcription factor binding sites in a particular locus contrasts with the substantial computational expertise that is demanded to manipulate them, which may constitute a potential barrier for the experimental community.
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.
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.
