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We will show that the new model significantly improves on that one on both accounts.
Numerical results and experimental results show that the proposed constitutive model significantly improves the prediction accuracy of spring-back.
Simulation results indicate that our model significantly improves the user satisfaction level by bandwidth sharing and reducing the system delay.
It is concluded that considering the Brownian motion effect in the static Maxwell model significantly improves the accuracy.
The sparse ConvNet model significantly improves the face performance of the pervious state-of-the-art DeepID2+ models, while it has only 12% of the original parameters.
The PHYCAA + model significantly improves the prediction accuracy and reproducibility of single-subject analyses, compared to PHYCAA and a number of commonly-used physiological correction algorithms.
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Modifications to the model significantly improved its predictive capacity for equibiaxial loading data.
Moreover, GA tuned model significantly improved the accuracy of the fit.
Moreover, the addition of plasma endostatin to a clinical prediction model significantly improved risk prediction performance for subsequent AKI.
Adding automated BSI to the blood-based model significantly improved the C-index from 0.67 to 0.72, p = 0.017.
Predicting the LDC by ANN model significantly improved the accuracy of computer simulation of the pollution transmission in river.
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