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Features of Hierarchical Fuzzy Entropy of Stroke Based on EEG Signal and Its Application in Stroke Classification.

, , , , , and . BigDataService, page 284-289. IEEE, (2019)

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Predicting the number of nearest neighbors for the k-NN classification algorithm., and . Intell. Data Anal., 18 (3): 449-464 (2014)Classification of Improved Cross-Correlation Function to Determine Speaker Location from Microphone Array., , , and . BigDataService, page 209-214. IEEE, (2019)Automatic construction and visualization of address models., , and . ICNC, page 2894-2897. IEEE, (2010)TAD boundary and strength prediction by integrating sequence and epigenetic profile information., , , , , , , , , and 1 other author(s). Briefings Bioinform., (2021)The Speech Recognition Based on the Bark Wavelet Front-End Processing., , and . FSKD (2), volume 3614 of Lecture Notes in Computer Science, page 302-305. Springer, (2005)The Speech Recognition Based on the Bark Wavelet and CZCPA Features., and . IROS, page 318-321. IEEE, (2006)Extraction of EEG Components Based on Time - Frequency Blind Source Separation., , , , and . IIH-MSP (2), volume 82 of Smart Innovation, Systems and Technologies, page 3-10. Springer, (2017)Research on feature selection for cyber attack detection in industrial Internet of Things., , , , and . CIAT, page 256-262. ACM, (2020)Research on Applications of E-commerce in Defense Transformation., , , and . ICEMC, page 6-10. ACM, (2018)A Fuzzy Neural Network Applied in the Speech Recognition System., , , and . ICNC (3), page 14-18. IEEE Computer Society, (2008)