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The theoretical error of the transition matrix algorithm is calculated using the error propagation relations theory, and an example is used to verify the accuracy of the results calculated in this study.
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The partial derivatives required for the implementation of the training algorithm are calculated using the adjoint model approach, adapted to the fuzzy network's architecture exercised here.
The objective function used to guide the WAAC feature selection algorithm was calculated using this internal test set.
In this case, the deadlines of the proposed algorithm were calculated using only the information about the BW-REQ messages and the queue delay, once it was used only one MCS at the access network.
The p-value of each algorithm was calculated using a Binomial distribution based on the random model through 1,000,000 simulations.
A distance matrix (distance options according to the Kimura two-parameter model), including clustering with the maximum likelihood algorithm, was calculated using Phylip version 3.67 (Falenstein 1989).
The memory of the investigated algorithms is calculated using the method given in [32].
The optimum number of spreading sequences and also the data rates to be transmitted for the mean and minimum system value-based algorithms were calculated using the methods described in Sections 6.3 and 6.4, respectively.
Sensitivity, specificity and positive predictive values of each of the case detection algorithms were calculated using chart review as the gold standard.
In this algorithm, the demixing matrix is calculated using a gradient descent.
The LOD threshold used to determine the QTLs is calculated using Li & Ji algorithm [ 53].
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