Sentence examples for modeling coupled with from inspiring English sources

Statistical modeling coupled with bioinformatics is commonly used for drug discovery.

Thermodynamic modeling coupled with chemical reaction model altogether with 1D gas dynamic model is employed to predict the performance and emission of in-cylinder process based on some boundary conditions which are derived from peripheral systems.

In the present study, an artificial neural network (ANN) modeling coupled with particle swarm optimization (PSO) algorithm was used to optimize the process variables for enhanced lipopeptide production by marine Bacillus megaterium, using food waste.

The rising river flows accompanying non-negative glacier mass balance are consistent with predicted future river flows derived from hydrologic modeling coupled with a climate projection suggesting increasing temperature and precipitation with unchanged glacier covers.

This study aims to revisit these formulations using a numerical approach based on crystal plasticity modeling coupled with explicit description of microstructure (morphology and texture) and proposes a statistical procedure for the analyses of numerical results in the HCF context.

Their as-cast and annealed microstructures, including phase fractions and distributions, the compositions of the constituent phases and the crystal structure of the σ phase were analyzed by thermodynamic modeling coupled with experimental characterization by scanning electron microscopy, electron probe microanalysis, X-ray diffraction and transmission electron microscopy.

In computational medicinal chemistry, Quantitative Structure-Activity Relationship modelling coupled with virtual screening of chemical libraries have been largely successful in the discovery of novel bioactive compounds24.

Here, we built on decades of mechanistic studies and recent modeling efforts to construct a stochastic computational model coupled with new Bayesian inference methods.

Our study illustrates versatility of pair hidden Markov models coupled with appropriate decoding criteria as a modeling tool for capturing complex sequence features.

The modelling approach is based on a semi-empirical two-zone combustion model coupled with an intensive identification analysis.

A dynamic model coupled with a FFT algorithm is developed.