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We implemented a simulator to validate and evaluate our proposed framework.
Based on these kernels, we implemented a simulator that had the following Graphic User Interfaces (GUIs): the modeling, visualization, and report GUIs.
As a proof of concept, we first have implemented a simulator for the DNA concept.
We implemented a simulator using nonbinary LDPC codes developed in the DaVinci project [17] and showed that our method allows a better exploitation of good channels with respect to CIR method.
Because detectability can be affected by any element of the workflow, we implemented a simulator that employed read sets from actual samples rather than model reads derived from the reference genome at uniform coverage.
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In order to systematically analyze the performance of the code assignment strategy, we implement a simulator to analyze the code selection behavior of each strategy, and the performance of the code blocking can be anticipated based on the analysis.
Lastly, this study implements a simulator that can undertake simple firefighting activities such as evacuation and rescue in fire situations at road tunnels; the functions and real-time performance of the simulator have been experimentally measured to verify the applicability of the proposed framework.
We implement a simulator to evaluate the performance of the Message-Tree Adaptive procedure on a sensing field of 256 256.
Its objective is to study and implement a simulator and a demonstrator that show the interest of the wireless approach over the wired one.
We have implemented a Monte Carlo simulator (W3MCSim) as an Internet software tool, primarily for interactive use by students, educators, life and other physical scientists, as well as other practitioners of probabilistic and statistical modeling.
We implemented a fading simulator where the MIMO channel coefficients were generated according to the improved Zheng Model, see [33, 34].
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