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While these approaches provide more sophisticated optimization methods, their implementation in resource-constrained hardware platforms such as FPGAs is challenging.
We then focus our attention on more sophisticated optimization techniques [21], such as simulated annealing, genetic algorithms, and particle swarm optimization (PSO).
Although this assumption of linear growth is likely too simplified for highly irregular and longer remeasurement intervals (>10 years), the iterative approach used in this analysis does produce model behavior similar to a more sophisticated optimization approach and is more effective than using the remeasurement interval as a covariate (e.g. Juma et al. 2014).
Since this initial study demonstrated the utility of this approach, we are continuing to expand the number of data sets and improve the scoring scheme through a more sophisticated optimization of weighting parameters.
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Therefore, more sophisticated hyperparameter optimization methods are required.
In both studies optimization algorithms of varying complexity were employed; the first involved a stochastic approximation method while the second incorporated a more sophisticated Bayesian optimization technique.
Introduction of the foam material alters the crash behavior of structural component and necessitates exploration of more sophisticated design optimization methodology.
The reason for the minor deviations we find in 6 between our new data (colored) and the data taken from ref (43) (gray) is that we have used a more sophisticated geometry-optimization scheme here (details in the Methods section); this, however, has no impact on the following discussion.
So, whereas in the recently published study, a codon optimization strategy was directed at more specific use with the expression system, in our present study, a more sophisticated proprietary codon optimization algorithm OptimumGene™ (GenScript, NJ, USA) was used.
The volumes of cytosol and various organelles should also be included, and more sophisticated methods for optimization and sensitivity analysis should be developed.
The findings from this study suggest that an even more sophisticated method of optimization may be necessary in selected patients - patient-tailored antibiotic therapy - which is the adaptation of antibiotic therapy to the need of the individual patient in order to maximize efficacy and minimize toxicity through therapeutic drug monitoring and dose adaptation.
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