Search Results - "Stacked denoising sparse autoencoder"

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  1. 1

    Deep Filter Banks for Land-Use Scene Classification by Wu, Hang, Liu, Baozhen, Su, Weihua, Zhang, Wenchang, Sun, Jinggong

    ISSN: 1545-598X, 1558-0571
    Published: Piscataway IEEE 01.12.2016
    Published in IEEE geoscience and remote sensing letters (01.12.2016)
    “…Land-use (LU) scene classification is one of the most challenging tasks in the field of remote sensing (RS) image processing due to its high intraclass…”
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    Journal Article
  2. 2

    A Stacked Denoising Sparse Autoencoder Based Fault Early Warning Method for Feedwater Heater Performance Degradation by Li, Xingshuo, Liu, Jinfu, Li, Jiajia, Li, Xianling, Yan, Peigang, Yu, Daren

    ISSN: 1996-1073, 1996-1073
    Published: MDPI AG 01.11.2020
    Published in Energies (Basel) (01.11.2020)
    “…Power grid operation faces severe challenges with the increasing integration of intermittent renewable energies. Hence the steam turbine, which mainly…”
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    Journal Article
  3. 3

    Radar Target Recognition Based on Stacked Denoising Sparse Autoencoder by Zhao Feixiang, Liu Yongxiang, Huo Kai

    ISSN: 2095-283X, 2095-283X
    Published: China Science Publishing & Media Ltd. (CSPM) 28.04.2017
    Published in Journal of radars = Lei da xue bao (28.04.2017)
    “…Feature extraction is a key step in radar target recognition. The quality of the extracted features determines the performance of target recognition. However,…”
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    Journal Article
  4. 4

    Faulty elements diagnosis of phased array antennas using a generative adversarial learning-based stacked denoising sparse autoencoder by Lin, Da, Wan, Qi

    ISSN: 0920-5071, 1569-3937
    Published: Taylor & Francis 11.02.2019
    “…Diagnosis of faulty elements in a linear phased array antenna is of great importance in the wireless communication field which has been received increasing…”
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    Journal Article
  5. 5

    Unsupervised Feature Learning With Distributed Stacked Denoising Sparse Autoencoder for Abnormal Behavior Detection Using Apache Spark by Marir, Naila, Wang, Huiqiang, Feng, Guangsheng

    Published: IEEE 01.07.2019
    “…The modern age of internet connectivity and advanced communication technologies has created an ever larger area for cyber attackers to develop, which has…”
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    Conference Proceeding
  6. 6

    A Biochemical Fault Detection Method Based on Stack Noise Reduction Sparse Automatic Encoder by Wang, Ping, Chu, Zhigang, Sun, Lupeng

    ISSN: 1948-9447
    Published: IEEE 01.08.2020
    Published in Chinese Control and Decision Conference (01.08.2020)
    “…A method based on stack noise reduction sparse automatic coder is proposed for biochemical process fault detection. Based on SDSA, softmax classifier is…”
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    Conference Proceeding