Sentence examples for model simultaneously predicts from inspiring English sources

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Unlike previously published models, the present model simultaneously predicts both polymer properties as well as particle size distribution.

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The 4PFR model also simultaneously predicts the presence of a smaller number of intermediate glycans at a significant level; whereas the 4CSTR model favors a wider spectrum of intermediate glycans.

Both the linear and nonlinear material models predicted the average contact pressure data well, while only the linear material model could simultaneously predict the trends in the peak contact pressure data.

The proposed model can simultaneously predict how passengers choose their optimal routes and trip modes.

We proposed a numerical model to simultaneously predict the fluid flow and heat transfer on both air-side and water-side of elliptical FTHE.

In this article, a number of commonly used multivariate regression techniques are examined in the context of developing a model for simultaneously predicting the concentrations of four solutes from noisy infrared absorbance measurements.

In this context, Fan et al. [23] proposed a hierarchical probabilistic model to simultaneously predict individuals' physical health by understanding how flu is spread within the proximity interaction networks dynamically captured by mobile phone Bluetooth data.

Here, we present two decision tree-based, multi-label QSAR models able to simultaneously predict substrates and non-substrates in a total of 1493 compounds for 4 of the main ABC transporters [2] (BCRP1, MDR1, MRP1 and MRP2).

The models are capable of simultaneously predicting three targeted polymer properties (cloud point, molecular weight, and % recovery of polymer mass) for poly N-isopropylacrylamide -based materials that can be reversibly poly N-isopropylacrylamide -based

A merging of a conceptual hydrological model with two vegetation models is performed to improve the ability to simultaneously predict catchment scale streamflow and vegetation dynamics (represented by the Leaf Area Index, LAI).

A fundamental aspect of the top-down model is a series of components for modeling the relationships between nuclei across time, allowing us to simultaneously predict and link the cell nuclei during the decoding phase.

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