Research on Load Feature Extraction Method of Typical Users Based on Deep Learning
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-82562-1_13
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3. Christ, M., Braun, N., Neuffer, J., Kempa-Liehr, A.W.: Time series FeatuRe extraction on basis of scalable hypothesis tests (tsfresh – a Python package). Neurocomputing 307, 72–77 (2018). https://doi.org/10.1016/j.neucom.2018.03.067
4. Lijian, Z., Chen, Z., Zuowei, W., et al.: Hierarchical palmprint feature extraction and recognition based on multi-wavelets and complex network. IET Image Proc. 12(6), 985–992 (2018)
5. Taguchi, Y.-H.: Tensor decomposition-based and principal-component-analysis-based unsupervised feature extraction applied to the gene expression and methylation profiles in the brains of social insects with multiple castes. BMC Bioinform. 19(S4), 99 (2018)
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