Sentence examples for modelling for predictive from inspiring English sources

If (M,R -like structures are present in real biological networks, this suggests that M,R -likeogical networkstructuresnon-computaree, with impresentons for those branches of systems binlogy that real on in silico modelling for predictive purposes.

Ongoing work on this topic includes developing a Kalman Filter based body movement prediction model for predictive on-body packet routing with lower delay objectives.

The accuracy factor and bias factor were within the proposed acceptable values indicating the suitability of the model for predictive purposes, such as prediction of the process criteria to meet the Food Safety Objectives.

The accuracy factor and bias factor were within the proposed acceptable values indicating the suitability of the model for predictive purposes, for instance to predict the process criteria to meet the lethality safety standards.

The results are an encouraging demonstration of the fitness of such models for predictive modelling.

The publicly available systematically labeled data in XMetDB will be a big step forward towards improved models for predictive metabolism.

In chapter 5, A. G. Mercader and E. A. Castro describe the use of partial-order ranking and linear modeling for predictive QSAR/QSPR studies.

XMetDB formalizes how biotransformation data should be reported, and the openly available systematically labeled data is a big step forward towards better models for predictive metabolism.

Calibrating the ensemble of geophysically constrained models would help produce a suite of realistic flow models for predictive purposes at the site.

In this way, the confidence in the model for predictive applications, such as optimization and scale-up of chemical engineering processes, is further enhanced.

A good paleoclimate record (data) helps in evaluating the regional sensitivity of global climate models (i.e., validation of global climate models) for predictive purposes and for its applications related to integrated water resources management.