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The orthogonal experiments can not only obtain much more information, but also reduce the experimental workload.
Alternatively, Optimal Experimental Design (OED) of non-isothermal experiments reduces the experimental workload and costs.
Based on a previously developed thermodynamic mechanistic model, the MHD tool generates a large amount of system knowledge and thereby permits minimizing the required experimental workload.
In predictive food microbiology, full factorial designs are still more the rule than the exception, despite the huge experimental workload and cost related to this method.
The Optimal Experimental Design (OED) approach allows reducing the experimental workload and costs, and the improvement of model identifiability because primary and secondary models are fitted simultaneously from non-isothermal data.
The models provide a correct description of general trends in the conductivity and anisotropy, and are expected to be useful as a first approach to anticipate the trends of other properties, as the thermal conductivity, of such complex multifunctional cellular materials, thus narrowing the experimental workload.
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As shown in Fig. 12 it can be observed that the system reaches to a throughput of 655 queries per second at a concurrency of 20. Figure 19 shows the predicted and experimental throughput of workload-driven partitioning.
But I am ambivalent about joining the management track because it will mean dropping experimental design from my workload.
Considering workload of experimental study, only two representative samples were selected from the four samples in this part, namely illumination and head rotation samples, respectively.
Experimental evaluations using real workloads confirm that the proposed method is cost-efficient and can be used as a powerful tool for NoC design space exploration.
To ensure robust experimental replication and manageable workloads, we employed a staggered honey bee collection scheme, which was repeated every week for a total of five weeks.
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