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In the following subsections, the performance of the proposed code design has been evaluated for low- and high-rate codes of medium block.
In the following subsections, the performance of our algorithm DPC and six other algorithms (MCL [ 27], CMC [ 4], SPICi [ 28], HC-PIN [ 15], COACH [ 22], and Core-Attachment [ 23]) were compared on core analysis, matching with known complexes, function annotation analysis.
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In this subsection, the performance of the proposed data traffic aggregation and multiplexing is evaluated.
In this subsection, the performance of the active speaker identification step is investigated.
In this subsection, the performance of the proposed code design has been analyzed for short and long block lengths.
In this subsection, the performance of the efficient implementation was compared with APA, PAPA and SC-RPAPA through simulations.
In this subsection, the performance of the proposed HICA method is compared with those of two well-known classifiers, namely multilayer perceptron (MLP) and Support Vector Machine (SVM).
In this subsection, the performance of both the traditional OLLA and the eOLLA in a scenario with high traffic load is evaluated.
In this subsection, the performance of SA-MFO is analyzed and compared with other meta-heuristic algorithms in terms of mean, standard deviation (std).
In this subsection, the performance of the proposed scheme is evaluated and compared with the two representative schemes discussed in Section 2.3.
In this subsection, the performance of the MIMO precoding schemes PMI and LI will be illustrated with the macrocellular and femtocellular throughputs (in bits/sec/Hz) at the 50th percentile of the CDF (50% throughputs) as a function of the number of femtocells per macrocell sector.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com