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Resulting process models are combined to predict environmental concentrations (and related biological exposures) of anthropogenic and natural organic compounds.
The cost models are combined with high-level statistics collected from an actual execution to provide low-overhead profiling information.
The outputs from NN models are combined by three different aggregation algorithms.
Then, the individual models are combined to generate simulated data that is compared with experiments.
The resulting models are combined to form a realistically looking vegetation.
These models are combined and refined using successive model transformations, until code is generated.
Decisions generated from different models are combined together through the Dempster-Shafer evidence theory.
The two models are combined to produce the final model, which is compared with observations.
The outputs from the acoustic and lexical models are combined at the decision level.
These fuzzy local models are combined to get an overall fuzzy inference mechanism.
Applying a thermal resistances approach the results from both models are combined.
More suggestions(17)
predictions are combined
methodologies are combined
ones are combined
matrices are combined
models are merged
templates are combined
kinds are combined
sample are combined
example are combined
kind are combined
models are moored
models are imported
models have combined
models are built
models are offered
models are made
models are needed
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com