Sentence examples for models or data from inspiring English sources

Up to now, most examples of using the MASW technique are focused on 2D models or data from a 1D linear receiver spread.

Evaluation of maps generated from different conceptual models or data processing approaches at spatial level has importance in many geoenvironmental applications.

Being an important variable for various applications, for example hydrological and weather prediction models or data assimilation, a large range of global soil moisture products from different sources, such as modeling or active and passive microwave remote sensing, are available.

Of these, only 26 clusters (15 are intronless and 11 contain introns) were found to contain either Ostreococcus models or data present in the NCBI non-redundant (nr) database in an orientation indicative of paired loci overlapping on opposite strands.

The TPR for mammography is the probability of a positive biopsy as a direct result of mammography in women with cancer and is estimated via mathematical models or data collected after following subjects not biopsied.

While the superiority of missForest for imputation of missing lab values will not be generalisable to all predictive models or data sets, this manuscript highlights the value of missForest to impute missing data.

Although it can be difficult to assign the correct roles to the correct data items, they can help the designer achieve better understanding of the function of each data item when the templates are used as data entry documents, graphical user interface models, or data-retrieving queries.

Also, from a statistical modeling or data analysis point of view, capabilities to address unrestricted nonlinear relations would be welcome.

Inference of full CMT, including isotropic component, is performed by inversion from extended set of stations without considering any model or data uncertainty.

The CMT inversion strategy consists of the following processing steps: 1. Inference of full CMT, including isotropic component, is performed by inversion from extended set of stations without considering any model or data uncertainty.

State information like groundwater levels can constrain the channel positions using inverse modeling or data assimilation, but the method should be able to handle non-Gaussianity of the parameter distribution.