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Compared with some state-of-the-art methods, the proposed method can better preserve image edges and texture details.
Specifically, the proposed ISOTV method can better reduce the staircase effect and preserve image edges more sharpness with medical applications.
Using reference sites with the addition method can better account for temporal variations than the multiplication method.
The comparison between the resulting conditions shows that the ETAD method can better predict the optimum condition.
It is found that the proposed method can better predict the kr values with smaller uncertainty for the soil with different initial dry densities than the Fredlund and Xing equation.
Overcoming the weakness of individual capability-focused evaluation of potential R&D partners, our method can better inform decision makers and experts in the partner selection process by enabling more comprehensive assessment of potential R&D partners.
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By comparing the experimental and simulated TG curves, the two methods can better predict weight loss of the isothermal oxidation of carbon felt/carbon composites.
The NL and BC methods can better deal with the heteroscedasticity and hence their corresponding predictive performances are improved, yet the negative flows cannot be avoided.
To the extent that the multivariate logits and the PSM used the same control variables, this comparison with RCTs also shows that in observational studies PSM methods can better account for overt selection.
Furthermore, it can also be expected that profile methods can better cope with the increasing overlap between families in full-length databases.
The common machine learning methods can better handle the problems with nearly the same number of positive samples and negative samples.
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