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The effectiveness of the acquired outcomes will be delineated by a simulation case.
Finally, the validity of the design strategy is verified by a simulation case.
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We begin the investigation of the accuracy of our method by testing on a simulation case.
This method has been validated by a Monte Carlo study of simulation case and further by an experimental test case, and the performance and potential advantages are illustrated.
This experimental data is straddled by the simulation case of Dintra="0 and Dintra="Dinter, as expected.
The efficacy of the proposed technique is corroborated by simulation case studies.
By conducting several representative simulation case studies using a model that was previously validated, it is concluded that ventilation is a key factor for determining whether sorption effect in building materials should be considered.
The effectiveness of this SGD-based change detection approach was verified by a simulation experiment and a case study of Landsat data.
The dynamic characteristic of the system difference coefficients is verified by a simulation experiment and the case study further testifies the capability and reliability of the proposed method.
The rapid design and optimization algorithms developed in this paper are validated by three simulation cases with different performance indexes and boundary constraints.
Four methods were compared by a simulation study: naive complete-case analysis, GBS, the constrained GBS (CGBS), and the constrained expectation and maximization (CEM).
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