Search Results - stacked denoising autoencoder((sade OR sage))

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  1. 1

    Flatness pattern recognition based on stacked sparse denoising autoencoder and improved Osprey optimisation algorithm kernel-extreme learning machine by Zhou, Yaluo, Zhang, Shaochuan, Liu, Wenguang, Zhang, Ruicheng

    ISSN: 0301-9233, 1743-2812
    Published: 11.07.2025
    Published in Ironmaking & steelmaking (11.07.2025)
    “… proposes a flatness recognition method based on stack sparse denoising autoencoder (SSDAE) with improved Osprey optimisation algorithm kernel-extreme learning machine…”
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    Journal Article
  2. 2

    Recognition of Cognitive Task Load levels using single channel EEG and Stacked Denoising Autoencoder by Yin, Zhong, Zhang, Jianhua

    ISSN: 1934-1768
    Published: TCCT 01.07.2016
    Published in Chinese Control Conference (01.07.2016)
    “… is particularly challenging as EEG is characterized by individual dependency and nonstationarity. In this paper, a deep learning model designed by Stacked Denoising AutoEncoder…”
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    Conference Proceeding Journal Article
  3. 3

    A Deep Learning Model to Predict the ncRNA-Protein Interactions Based on Sequences Information Only by Sewailem, Maha FM, Arif, Muhammad, Alam, Tanvir

    ISSN: 1177-9322, 1177-9322
    Published: United States SAGE Publishing 01.01.2025
    Published in Bioinformatics and biology insights (01.01.2025)
    “…Noncoding RNAs (ncRNAs) play significant roles in multiple fundamental biological processes, in particular, ncRNAs interactions provide valuable insights into…”
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    Journal Article
  4. 4

    A deep feature extraction method for bearing fault diagnosis based on empirical mode decomposition and kernel function by Wang, Fengtao, Deng, Gang, Liu, Chenxi, Su, Wensheng, Han, Qingkai, Li, Hongkun

    ISSN: 1687-8132, 1687-8140, 1687-8140
    Published: London, England SAGE Publications 01.09.2018
    Published in Advances in mechanical engineering (01.09.2018)
    “…, which are regarded as the inputs of the proposed stacked kernel sparse autoencoder network. The proposed method does not depend on prior knowledge of fault diagnosis…”
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    Journal Article
  5. 5

    Online Network traffic anomaly detection method combining OS-ELM and SADE by Dai, Shiyong, Zhao, Yufei, Huang, Jinhua, Wang, Xuxian, Zhao, Guifei, Zhang, Lei, Xie, Ming, Guo, Ziyue

    ISSN: 2169-3536, 2169-3536
    Published: IEEE 2024
    Published in IEEE access (2024)
    “… In order to reduce the high dimensionality between data features and eliminate the redundancy, the Stacked Denoising Autoencoder (SDAE…”
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    Journal Article