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Again, the differences between both methods are within the uncertainty of standard calibration (± 3%).
There are only two regions in which the ANN model presents lower MAPE values: the Canary Islands and Madrid, but the differences between both methods are not significant in three out of the four forecasting horizons.
This might have distorted the accurate determination of cutoff values of ScvO2, because the limits of agreement between both methods are wide [ 39].
Due to the fact that the two curves are practically the same, the relative differences between both methods are shown in the inset of Fig. 1.
These results are summarized in Table 4 and visualized in the CIRCOS diagram in Figure 2, where the matches between both methods are in gray, and the false positive and negative predictions in orange and yellow, respectively.
Similar(55)
For example, Wang et al. [22] and Somol et al. [23] proposed to select the most discriminative feature types based on the relationships between different feature types, both methods are sparse feature selections rather than filter methods.
To perform a fair comparison between MEME and the thresholding framework, both methods are initially provided with a single image to tune their respective parameters.
Collection of A-ALC between both methods was similar.
A comparison between both methods is finally provided.
The agreement between both methods is excellent in a large range of temperatures.
On average a difference of 1.8 log units between both methods was observed for the predicted log Kaw values.
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