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Two simulated datasets were employed in the current paper.
Two sets of datasets were employed in this study.
As with the biological data, these datasets were employed previously with PCA approach alone [37].
These datasets were employed for descriptor calculation and development of the models.
Total 38 training datasets and 10 testing datasets were employed for training and testing of the ANN respectively.
Four days of datasets were employed to develop the model and one day of dataset was employed to test the prediction accuracy.
Similar(48)
Similar to [18], two datasets are employed.
Rotating machinery datasets are employed to demonstrate the effectiveness of the proposed method.
Nine UCI datasets and five fault recognition datasets are employed as test objects, and the obtained feature subsets are then used for subsequent classification and clustering.
In particular, the GTZAN [17], ISMIR, Homburg [54], Unique [16], and 1517-Artists [16] datasets are employed for music genre classification, the MTV dataset [15] for music mood classification, and the CAL500 dataset [1] for music tagging.
Finally, three public datasets are employed for performance evaluation and the results show that the studied techniques have contributed a lot in promoting the recognition rate of non-rigid 3D shapes.
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