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The FOD material dataset can be downloaded from Google Drive.
The optimum uniaxial material dataset for strain-life predictions employing the Chaboche model is determined.
Thus, we did not perform experiments using ResNet on the FOD material dataset.
This work specifically present a framework for a fast and reliable classification of a large material dataset with respect to desired mechanical properties, and can be used for all materials within the context of materials science and engineering.
We translated the NCBI taxonomy plain text files into a standard tree file format (See Supplementary material Dataset S1).
We compared ARGOT with Blast2GO over the same BLAST results (see supporting material Dataset S5) obtained for 4,000 proteins from the test set YEAST.
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The general material recognition dataset is not applicable to FOD material recognition.
We demonstrate our framework by ways of a case study involving a real-world material scattering dataset.
In this article, we present a long-term global material flow dataset covering material extraction, trade, and consumption of 177 individual countries between 1950 and 2010.
We also describe in the Supplementary Material a dataset used to assess the ability of mCSM in predicting disease-related mutations.
The details about the two datasets are presented in Supplementary Material 3. The datasets used in our experiments are provided with labels; therefore, the clustering performance is evaluated as comparing the automatic partitions with the labels using adjusted rand index (ARI; Hubert and Arabie, 1985) and normalized mutual information (NMI; Strehl and Ghosh, 2002).
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