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Computational experiments are provided for a number of test problems using a realistic network instance.
This supports the importance of using a realistic network to select the single-stimulus/inhibitor components to be linearly combined for data prediction.
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Using a realistic infrastructure network, we perform computational tests; the results of these tests demonstrate the ability of the dispatching rule to find high-quality solutions in real time and quickly adapt to the arrival of new information.
Using a realistic distribution network simulation, in [8] the authors evaluate a range of different residential EV charging strategies, highlighting their strengths and weaknesses.
The objective of this paper is to present such a framework for residential charging of EVs, and to provide a comparative evaluation of a range of residential EV charging strategies within this framework using a realistic distribution network simulation testbed and representative charging scenarios.
A mixed load of voice and data traffic originating in different timezones is used on a realistic network where all the links have an independent probability of failure.
This paper investigates the tradeoff between the energy consumption and the latency of communications in a wireless multihop network using a realistic unreliable link model.
The algorithm is tested on simulated time series data, generated using a realistic model of the subthalamopallidal network of basal ganglia.
Summary: Analysis of biological networks requires assessing the statistical significance of network-based predictions by using a realistic null model.
The influence of the location area design on the network resource utilization is illustrated using a realistic example.
However, the significance of any network-based prediction must be validated using a realistic null model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com