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The use of dynamic models helps to avoid the time consuming steady state measurement.
The development of statistical language models helps to predict a sequence of recognized spoken words and phonemes.
The comparison of these theoretical models with practical models helps to solve the concept of optimal model simulations.
The historical analysis of those models helps to easily decide this case about the accurate prediction of the future rainfall conditions.
The intrinsic connection between the MRMT and TTLM models helps to estimate the main time-nonlocal parameters in the TTLM model (which are the time scale index, the capacity coefficient, and the truncation parameter) either semi-analytically or empirically from the measurable aquifer properties.
Further, our choice of mixed models helps to account for random variability.
Similar(51)
Catastrophe models help to evaluate the vulnerability of the building stock exposed to a hazard.
These models helped to present the designs in a visual and realistic way, compared to the hand sketches.
Investigation of the models helped to formulate the criteria for evaluation of the collaborative network activity dynamics.
Two complementary studies using genetically engineered murine models help to explain the association of NOD2 malfunction and mucosal disease.
The analysis of ligands in NMR models helped to quantify normal conformational fluctuations and showed a trend of increasing inter-model RMSDs with increasing conformation degrees of freedom.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com