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As proposed, we computed the integrated EHH (iHH) as the integral of the observed EHH in both directions from the core position until EHH reaches 0.05 [ 9].
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To investigate the convergence properties of the proposed algorithm, we computed the relative utility difference, for.
Using the proposed algorithm, we compute eye-movement statistics for both eyes for samples of about 70 participants across a variety of common tasks and stimuli (two reading tasks, static scene viewing, and search) and provide descriptive statistics for them, which reveal that individual differences in fixation durations and saccade sizes are large.
In order to evaluate the efficiency of the proposed estimation method, we computed the Posterior Cramér-Rao Bound (PCRB) [52] in Appendix 2. We plot the PCRB as a benchmark for the root mean square error (RMSE) curves obtained by computer simulations, obtained after averaging 200 independent Monte-Carlo trials.
To evaluate the computational complexity of the proposed LV-ET, we compute the average time consumption per video for both trajectory extraction and descriptor representation on UCF sports.
To evaluate the computational complexity of the proposed SSLM family, we compute the total number of operations required by the Equations 6, 8, 9, 7, and 15 which define its implementation in order of execution.
To quantify the effectiveness of the proposed detection scheme, we compute the detection ratio DR as a function of the switching frequency.
First, in order to evaluate the biological relevance of our proposed biclustering algorithm, we compute the p-values to indicate the quality of the extracted biclusters.
The verifiable and secure outsourcing protocol we proposed to compute the characteristic polynomial and eigenvalues of matrix works as follows.
Nevertheless, in order to analyze under which circumstances our methodology can faithfully reproduce the dynamics proposed in Scenario 6, we computed the delay distributions τ1, τ2, τ3, and τ4 from three separate ChemCell runs using 'delay splitting'.
Also, to measure the effectiveness of the proposed algorithms, we have computed the echo return loss enhancement (ERLE).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com