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The final dataset resulting from the classification scheme includes 229 articles divided into four classes.

The effectiveness of the proposed approach is demonstrated on UCF50 dataset resulting in a high recognition accuracy of 99.68%.

For succinctness, below we refer to a "configuration" as the image dataset resulting from applying one reconstruction algorithm to one sinogram.

Using different seed values, we trained ten different models for each modeling technique and dataset, resulting in a total of 60 models (Figure 1).

Before the extraction of the NLPCs, noisy bands not containing relevant information were discarded from the original dataset, resulting in 168 spectrally unique and good quality bands[32].

Subset 1: It corresponds to sub-sampling the specialized dataset resulting from the previous iteration to propagate the distribution from one iteration to another.

The hydrochemical dataset resulting from the 23 samples are presented in the form of box plots and table in Fig. 2 and Table 1, respectively.

Step 4: For (ell) ranging from 2 upto ({p}^{prime prime }), perform the LDA to subsets, of the dataset resulting from Step 3, involving the (ell) first variables.

A perfect separation of all true positives from the data would result in an AUROC of 1, whilst a random classifier would be expected to distribute true positives throughout the whole dataset resulting in an AUROC of 0.5.

Trees with a negative growth rate > 2 mm year−1 or with a positive growth rate >15 mm year−1 were removed from the dataset resulting in the exclusion of a further 9 stems.

Then, the sliding window approach was applied, joining four consecutive buckets into a training dataset and using the following bucket as the corresponding evaluation dataset, resulting in 10 data partitions for periodic retraining.

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