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Here, we ask how much the final models are improved if improved contact predictions are used.
Comparing the prediction and the original simulation, its predictive models are improved through a learning process.
Next section, we discuss how these limitations in conventional microfluidic models are improved in human organs-on-chips models to assess the functionality of NPs.
In order to obtain detailed source models, velocity structure models are improved by using waveform modeling of moderate earthquakes that occurred near the mainshock.
In this manuscript, the proposed models are improved by considering that transmission channels are dynamic channels that can be modeled as non-stationary variables.
Throughout the design process, the performances of the test models are improved, compared to those with the single stage design approach.
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Computational models are improving in the accuracy and scope of predictions, but are also growing in complexity.
While metabolic models are improving their accuracy in predicting gene essentiality, only genes involved in metabolism are represented in these models.
The detailing of its models was improved and the range extended.
The model fit (adjusted R2) of the regression models was improved as plot size increased.
Also, the applicability of oemof models is improved by the underlying structure.
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