Sentence examples for models using powerful from inspiring English sources

The dynamic simulation models using powerful computers are effective tools for studying and understanding the operating characteristics of power plants to meet and improve the design, control strategy and operational requirements.

GINsim provides complementary features that allow performing multiple analyses of logical models using powerful algorithms [ 60].

It is possible to envision a tiered system of analysis in which initial discoveries that are made using powerful model genetic systems, including yeast, worms and flies (in cells and in whole organisms), are then validated in vertebrate models, including zebrafish, mice and human cells, and finally are linked via human genetics to specific disease processes.

The key insight of our model is to learn such representations by predicting the future in latent space by using powerful autoregressive models.

Scenarios for future climate change are almost always developed using powerful three-dimensional models of the earth and its atmosphere.

A synthesis of the authors' groundbreaking econometric research on automatic model selection, which uses powerful computational algorithms and theory evaluation.

This model enables to use powerful tools for the discrete and continuous domains.

Physics based SRP (Solar Radiation Pressure) models using ray tracing methods are powerful tools when modelling the forces on complex real world space vehicles.

Nevertheless, generating models using this method is a powerful and efficient approach for defining the impact of specific genetic changes on the phenotypes in vivo.

SPaM used powerful modeling techniques to save its first clients millions of dollars.

We focused on a high-risk cohort, assessed diabetes risk using robust measures of insulin sensitivity and secretion from the FSIVGTT to estimate β-cell function, controlled for the potential confounding effects of maturation and body composition, and used powerful statistical modeling techniques to account for the variance component across time.