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In this part, different feature selection techniques were applied on datasets to see their probable effects on the results and evaluation metrics.

For the fuzzy logic, especially type 2 fuzzy logic system, reports have shown that it easily becomes computationally intensive (Abe 2004), hence requiring more time for execution when applied on high-dimensional data (Mendel 2003), and performs poorly when applied on datasets of small size (Mendel 2003; Pratama et al. 2012).

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The proposed time-frequency optimization methods based on different criteria will first be applied on dataset IIb using only two bipolar channels (C3, C4).

Proposed methodology is applied on two datasets: one belongs to carbonate reservoir of Mishrif, the other belongs to sandy Burgan reservoir.

Same approach was applied on PIMH datasets where 3229 out of 24097 epochs were randomly taken from PIMH dataset for the six times instead of ten times.

Logic regression (LR) is one of the approaches for finding multiple interactions and has been successfully applied on several datasets [ 6, 11– 17].

The framework will be applied on three datasets in the "Results and discussion" section.

However, dynamic mesh datasets of [46] and [45] provide only one frame per animation and this is not sufficient for our metric to be applied on these datasets.

To overcome this issue, dimensionality reduction can be applied on the datasets by indexing their elements via a Space Filling Curve (SFC) [18].

Furthermore, data is commonly not stored consistently and information about which tools were applied on which datasets in which way is usually lost.

A major drawback of the empirical equations and correlations is that they have to be derived all over again from the scratch when applied on new datasets.

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