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NFES can be used to evaluate the performance of Distributed Software System Architecture DSSAA) with user-centric variables as parameters for performance measurement.
We summarize the most commonly used parameters for performance, which allows us to directly compare the cooling performance of various packaging designs.
An experimental investigation into the process parameter effects is presented to determine the optimum configuration of design parameters for performance, quality and cost.
We evaluate the model using two different scheduling schemes and we derive closed form expressions for different QoS parameters for performance metrics such as packet delay and packet loss rate.
In this study we estimated genetic parameters for performance traits of oysters from the Molluscan Broodstock Program (MBP), a family-based selective breeding program designed to improve yields of Pacific oysters on the West Coast, USA.
Table 2 System parameters for performance evaluation.
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According to Menzies et al. [13, 20] since some models with low precision performed well, using it as a reliable parameter for performance evaluation is not good.
They also argued that since some models with low precision performed well, using it as a reliable parameter for performance evaluation is not recommended.
Training and properly using DCNNs require domain knowledge and it is often necessary to tune several hyper-parameters for performance optimization.
DPI with consistent values for all test conditions, indicating high degree of independence of operating conditions and food product characteristics, can therefore be used as a test parameter for performance comparison between different dryer designs on equitable basis.
First, we investigate STDMA according to configurable parameters (i.e., SI, NI, CS threshold, and a physical transmission rate) to get insight on how to configure each parameter for performance enhancement.
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