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Application of surrogate tissues/cells/body fluids comprises inherent jeopardy (i.e. differential cellular composition of blood or serum) that may confound results [1],[1]].
As a preface to specific discussion of the use of data driven analyses, it is useful to consider the application of surrogate parameters.
The objective of the research presented in this paper was to improve the design process of complex thin-walled ship structures through an application of surrogate modeling on this type of a problem.
The application of surrogate placement algorithms, followed by the deployment of the resulting CDNs, is conducted over a set of Future Internet (FI) research experimental infrastructures, namely (i) the w-iLab.t[11] wireless testbed for functional validation and feasibility check and (ii) PlanetLab[12] for scalability testing, utilizing appropriate techniques to emulate the wireless environment.
Key discussions are focused on handling discontinuous multi-modal building optimization problems, the performance and selection of optimization algorithms, multi-objective optimization, the application of surrogate models, optimization under uncertainty and the propagation of optimization techniques into real-world design challenges.
Comparison of observed and predicted mortality reductions in this trial (and in the frequency trial (The Breast Screening Frequency Trial Group, 2002)) may provide further insight into the application of surrogate outcome measures.
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Other applications of surrogate models in GP can be also investigated in future studies (e.g. individual-based, generation-based and population-based techniques).
Numerous experimental results show that the proposed two-step approach outperforms simpler application strategies of surrogate modelling techniques, getting comparable performances to approaches based on electromagnetic simulation but with orders of magnitude less computational effort.
Though application of the surrogate endpoints identified in this study may be suitable for these traditional chemotherapeutic agents, surrogate endpoints should be directly verified in trials evaluating targeted or immunological therapies, which have totally different pharmacodynamic profiles.
In this work, we consider the application of inverse surrogate modeling for fast geometry scaling of microwave and antenna structures.
To our knowledge, it is the first application of variable fidelity surrogate modeling to wind tunnel contraction design.
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