Suchergebnisse - "Stacked variational autoencoder"

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  1. 1

    SVDTI: Stacked variational autoencoder with SMILES-based drug representations for identifying drug-target interaction von Ha, Jihwan

    ISSN: 0925-2312
    Veröffentlicht: Elsevier B.V 14.01.2026
    Veröffentlicht in Neurocomputing (Amsterdam) (14.01.2026)
    “… The rapid identification of novel drug–target interactions (DTIs) remains a critical challenge in drug development, as traditional experimental methods are …”
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    Journal Article
  2. 2

    A novel 3D indoor localization method integrating deep spatial feature augmentation and attention-based denoising von Liu, Chunyuan, Yu, Xiaomin, Wu, Peilong, Wang, Haoyu

    ISSN: 2045-2322, 2045-2322
    Veröffentlicht: London Nature Publishing Group UK 26.09.2025
    Veröffentlicht in Scientific reports (26.09.2025)
    “… The complexity of indoor environments and the high-dimensional, diverse nature of localization data pose significant challenges for three-dimensional (3D) …”
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  3. 3

    SVAE‐GRU‐based degradation generation and prediction for small samples von Shangguan, Anqi, Feng, Nan, Mu, Lingxia, Fei, Rong, Hei, Xinhong, Xie, Guo

    ISSN: 0748-8017, 1099-1638
    Veröffentlicht: Bognor Regis Wiley Subscription Services, Inc 01.11.2023
    Veröffentlicht in Quality and reliability engineering international (01.11.2023)
    “… The degradation process analysis is the basis of the system reliability assessment. Too few degradation samples will affect the accuracy of the reliability …”
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    Journal Article
  4. 4

    Soft Sensor Based on Fusion Modeling with the Balanced Spatio-temporal Feature Network von Tang, Xiaochu, Wang, Yiting, Tao, Na, Yu, Yang

    ISSN: 1934-1768
    Veröffentlicht: Technical Committee on Control Theory, Chinese Association of Automation 28.07.2025
    Veröffentlicht in Chinese Control Conference (28.07.2025)
    “… In recent years, multi-feature integrated method based on deep neutral network has been widely applied to soft sensor. However, existing methods rarely …”
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  5. 5

    Stacked Variational Autoencoder in the Classification of Cardiac Arrhythmia using ECG Signals with 2D-ECG Images von Nithya, S, Rani, M. Mary Shanthi

    Veröffentlicht: IEEE 22.09.2022
    “… Cardiac Arrhythmia is an endangered signal to human life. Most arrhythmias are shortfalls of symptoms. Electrocardiogram (ECG) is a non-invasive, low-priced, …”
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