Sentence examples for model highly complex from inspiring English sources

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Treating every possible combination of plasmids in mixed infection will add 11 more population types making the model highly complex and therefore to avoid the complexity we merged them into a single category.

These functions enable DL agents to model highly complex nonlinear relationships or patterns in data, giving them the ability to carry out certain tasks with human-like savvy or better.

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53, 59, 60 Eklund et al 59 have addressed this problem through an eScience Bayes approach, complementing a Bayesian probability models' ability to incorporate gene expression with text mining, modeling highly complex problems with high performance computing.

We concluded that the structure of survival in this cohort that could not be explained by the risk factors included in the model is highly complex, and thus the extension of the Cox survival model is required to capture this complexity more accurately so that risk estimates and CIs are characterized appropriately.

For optimum use of these possibilities it is necessary to model the highly complex physical and chemical interactions in sufficient detail to allow prediction of flavour formation, retention and release.

By using dense surface data we are able to model the highly complex deformations of the lips during speech to a greater degree of accuracy than traditional capture techniques such as motion-capture and image-based modelling.

Notwithstanding the wondrous advances in computer aided design systems (CAD), dynamically modeling such highly complex systems reliably is often impractical because of the many variables and unknowns.

Due to the infinite dimensional and nonlinear characteristics, such models are highly complex, especially when all the phenomena of nucleation, growth and breakage are considered.

Realistic computational models are highly complex and sophisticated, integrating substantial amounts of data that characterize the population and geographical context in order to attain superior accuracy, resolution, and predictive power [ 4- 10].

Previous independent experiences of the PSICOST research group [ 13, 23, 24] in Spain, based on different data analysis methods, resulted in successful modelling of highly complex phenomena related to health care system assessment.

Thus, GPI-induced arthritis in normal mice bridges the gap between the transgenic K/BxN model and the highly complex human situation, thereby providing a model in which both the induction and effector phase of antigen specific arthritis can be dissected, and preventive and therapeutic strategies evaluated.

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