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The purpose of this work is to address this issue by applying standard and ad hoc procedures to evaluate the performance of the connectivity methods on realistic models of neuronal networks.
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Figure 13 Performance comparison between the modeling method and proposed method on realistic testbed.
For the remaining simulations, we utilize the QUADRIGA channel model to test our proposed methods on more realistic channel realizations.
The methods are evaluated on realistic measurements from an irrigation canal located in the South of France.
Our methods are tested on realistic data sets representing the infrastructure systems of New Hanover County, North Carolina in the United States and lower Manhattan in New York City.
The experimental results validated the proposed method on a realistic packaged integrated system modeled by the multi-domain/physics commercial tool, COMSOL.
Numerical results are presented, aimed at verifying the formal order of accuracy of the scheme and to assess the performance of the method on several realistic test problems.
We first benchmarked our method on a realistic simulated dataset generated as described in Section 3.1.
To test our method on a realistic demographic model for humans, we simulated a demographic history based on parameters inferred from SNP frequency data [ 26].
Accurate earthquake forecasting based on CST is thus contingent on the availability of accurate stress change estimates as well as on realistic methods for relating them to changes in earthquake probabilities.
After pointing out that heuristic approaches based on demand duration curve are weak instruments for plant design optimization, a more refined method is proposed, based on realistic operating conditions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com