Výsledky vyhledávání - "Stacked variational autoencoder"

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  1. 1

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

    ISSN: 0925-2312
    Vydáno: Elsevier B.V 14.01.2026
    Vydáno v Neurocomputing (Amsterdam) (14.01.2026)
    “… approaches to predict potential DTIs efficiently. In this paper, we introduce a novel method, which employs a stacked variational autoencoder (SVAE…”
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  2. 2

    Text feature extraction based on stacked variational autoencoder Autor Che, Lei, Yang, Xiaoping, Wang, Liang

    ISSN: 0141-9331, 1872-9436
    Vydáno: Kidlington Elsevier B.V 01.07.2020
    Vydáno v Microprocessors and microsystems (01.07.2020)
    “…This paper presents a text feature extraction model based on stacked variational autoencoder (SVAE…”
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  3. 3

    Semi-supervised Deep Learning in Motor Imagery-Based Brain-Computer Interfaces with Stacked Variational Autoencoder Autor Chen, Junjian, Yu, Zhuliang, Gu, Zhenghui

    ISSN: 1742-6588, 1742-6596
    Vydáno: Bristol IOP Publishing 01.09.2020
    Vydáno v Journal of physics. Conference series (01.09.2020)
    “… To address this problem, we propose a semi-supervised deep learning method based on the stacked variational autoencoder (SVAE…”
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  4. 4

    SVAD: Stacked Variational Autoencoder Deep Neural Network-Based Dimensionality Reduction and Classification of Small Sample Size and High Dimensional Data Autor Srivastava, Neha, Tayal, Devendra K.

    ISSN: 2661-8907, 2662-995X, 2661-8907
    Vydáno: Singapore Springer Nature Singapore 12.10.2024
    Vydáno v SN computer science (12.10.2024)
    “…The “curse of dimensionality” is a major concern in the field of computational biology, especially when there are many fewer samples then to the number of…”
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  5. 5

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

    ISSN: 2045-2322, 2045-2322
    Vydáno: London Nature Publishing Group UK 26.09.2025
    Vydáno v Scientific reports (26.09.2025)
    “… Specifically, a stacked variational autoencoder…”
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  6. 6

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

    ISSN: 0748-8017, 1099-1638
    Vydáno: Bognor Regis Wiley Subscription Services, Inc 01.11.2023
    “… New degradation data are generated by combining the Stacked Variational Autoencoder (SVAE…”
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  7. 7

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

    Vydáno: IEEE 22.09.2022
    “… Prompt diagnosis of arrhythmia can reduce the mortality rate. In this paper, we have investigated the application of a Stacked Variational Autoencoder (SVAE…”
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  8. 8

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

    ISSN: 1934-1768
    Vydáno: Technical Committee on Control Theory, Chinese Association of Automation 28.07.2025
    Vydáno v Chinese Control Conference (28.07.2025)
    “… or even submerged.In this paper, a stacked variational autoencoder based on balanced spatio-temporal feature network(BST- SVAE…”
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  9. 9

    Digital Twin-Driven Trust Management in Open RAN-Based Spatial Crowdsourcing Drone Services Autor Akram, Junaid, Anaissi, Ali, Rathore, Rajkumar Singh, Jhaveri, Rutvij H., Akram, Awais

    ISSN: 2473-2400, 2473-2400
    Vydáno: Piscataway IEEE 01.09.2024
    “…We introduce "TMIoDT," a pioneering framework aimed at bolstering communication security in the Internet of Drone Things (IoDT) integrated with Open Radio…”
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  10. 10

    SVAE-WGAN-Based Soft Sensor Data Supplement Method for Process Industry Autor Gao, Shiwei, Qiu, Sulong, Ma, Zhongyu, Tian, Ran, Liu, Yanxing

    ISSN: 1530-437X, 1558-1748
    Vydáno: New York IEEE 01.01.2022
    Vydáno v IEEE sensors journal (01.01.2022)
    “… Firstly, deep features are extracted with the stacking of the variational autoencoder (SVAE). Secondly, a generation model is constructed with the combination of stacked variational autoencoder…”
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  12. 12

    Deep Variation Autoencoder with Topic Information for Text Similarity Autor Gong, Zheng, Fu, Yujiao, Su, Xiangdong, Xu, Heng

    Vydáno: IEEE 01.07.2018
    “… Considering that the similarity of context information reflects the similarity of text pairs in most cases, we integrate the topic information into a stacked variational autoencoder in process…”
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