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We applied the stationarity tests on the datasets by taking the natural logarithm of the datasets for both periods.
To overcome this issue, dimensionality reduction can be applied on the datasets by indexing their elements via a Space Filling Curve (SFC) [18].
The datasets by (Deng et al. 2009; Endres et al. 2010; Russell et al. 2008; Torralba et al. 2008) contains large collections of objects and scenes with relatively smaller collections of materials.
We performed an initial quality control on the datasets by separating the data into half-orbit tracks and computing along-track rms differences with the IGRF-11 (Finlay et al. 2010) main field model.
Figure 2 summarizes the entire process of the proposed framework, which includes three main steps: (1) create the affinity matrix using the pairwise distances and class similarity, (2) create discretization schemes, and (3) discretize the datasets by applying the discretization schemes.
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Table 1: Summary table showing the information contained in the dataset by trial site.
Outliers were identified and removed from the dataset by the ROUT method using GraphPad Prism 7 software.
Here, we generate the usage of each topic in the dataset by slice of the data.
Another way to think about the convolution operation is a filtering of the dataset by the kernel.
Such local influences of pollution have been removed from the dataset by visual inspection to make the dataset representative of the regional background conditions22.
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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