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We used datasets from three Brazilian ecoregions.
Further, the results are consistent for all the used datasets.
One of the most commonly used datasets is ImageNet11, which has been gathered over many years, and is publicly available.
The experimental study on commonly used datasets has shown its potential.
When comparing TTDs or Fyw of different catchments, the temporal resolution of the used datasets needs to be considered.
We discuss also the potential applications of the used datasets in terms of providing information on biodiversity in ES assessments.
Moreover, the Choquet combination scheme offers more improvements to achieve 97.56% and 94.51% for the used datasets, respectively.
Concordance of the agroecozones with other widely used datasets was investigated using MapCurves, a quantitative goodness-of-fit method.
To evaluate the Sec-GO method, two existing methods and their used datasets are adopted for performance comparisons.
Jackknife tests on three widely used datasets show that our method provides the state-of-the-art performance in comparison with other existing methods.
This paper provides a systematic depiction of both feature engineering- and deep learning-based CADe schemes, including the categories of pulmonary nodules, modalities of chest medical imaging, commonly used datasets with nodule annotations, and related publications in recent years.
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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