Výsledky vyhledávání - "Robust convolutional autoencoder"

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  1. 1

    Hybrid robust convolutional autoencoder for unsupervised anomaly detection of machine tools under noises Autor Yan, Shen, Shao, Haidong, Xiao, Yiming, Liu, Bin, Wan, Jiafu

    ISSN: 0736-5845, 1879-2537, 1879-2537
    Vydáno: Elsevier Ltd 01.02.2023
    “…•A new FDD loss function to suppress the noises is designed.•Construct the PCDF module to enhance the robustness of the network.•The unsupervised anomaly…”
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    Journal Article
  2. 2

    Clutter Suppression in GPR Imaging Using an Improved Robust Convolutional Autoencoder Autor Fan, Pengjie, Shen, Shaoxiang, Wang, Guangyu

    ISSN: 0013-5194, 1350-911X
    Vydáno: Stevenage John Wiley & Sons, Inc 01.01.2025
    Vydáno v Electronics letters (01.01.2025)
    “… We propose a clutter suppression algorithm based on an improved robust convolutional autoencoder (U‐RCAE…”
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    Journal Article
  3. 3

    Hybrid data-driven feature extraction-enabled surface modeling for metal additive manufacturing Autor Shi, Zhangyue, Mandal, Soumya, Harimkar, Sandip, Liu, Chenang

    ISSN: 0268-3768, 1433-3015
    Vydáno: London Springer London 01.08.2022
    “…Metal additive manufacturing (AM) has become popular in a large variety of applications due to its excellent capabilities of handling complex geometries and…”
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    Journal Article
  4. 4

    Multi-loss Function in Robust Convolutional Autoencoder for Reconstruction Low-quality Fingerprint Image Autor Raswa, Farchan Hakim, Halberd, Franki, Harjoko, Agus, Wahyono, Lee, Chung-Ting, Li, Yung-Hui, Wang, Jia Ching

    ISSN: 2640-0103
    Vydáno: Asia-Pacific of Signal and Information Processing Association (APSIPA) 07.11.2022
    “…Our research is fingerprint reconstruction based on a convolutional autoencoder. We combine the perceptual measurement as a multi-loss function to give…”
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    Konferenční příspěvek
  5. 5

    GRIDS-Net: Inverse shape design and identification of scatterers via geometric regularization and physics-embedded deep learning Autor Nair, Siddharth, Walsh, Timothy F., Pickrell, Greg, Semperlotti, Fabio

    ISSN: 0045-7825, 1879-2138
    Vydáno: Netherlands Elsevier B.V 01.09.2023
    “…This study presents a deep learning based methodology for both remote sensing and design of acoustic scatterers. The ability to determine the shape of a…”
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    Journal Article
  6. 6

    GRIDS-Net: Inverse shape design and identification of scatterers via geometric regularization and physics-embedded deep learning Autor Nair, Siddharth, Walsh, Timothy F., Pickrell, Greg, Semperlotti, Fabio

    ISSN: 0045-7825, 1879-2138
    Vydáno: United States Elsevier 22.06.2023
    “…This study presents a deep learning based methodology for both remote sensing and design of acoustic scatterers. The ability to determine the shape of a…”
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    Journal Article
  7. 7

    Convolutional Autoencoder for Real-Time PPG Based Blood Pressure Monitoring Using TinyML Autor Ali, Noor Faris, Hussein, Mousa, Awwad, Falah, Atef, Mohamed

    ISSN: 2159-1679
    Vydáno: IEEE 17.12.2023
    “…In this paper, we propose an efficient and robust convolutional autoencoder (CAE) model for continuous realtime blood pressure…”
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  8. 8

    GRIDS-Net: Inverse shape design and identification of scatterers via geometric regularization and physics-embedded deep learning Autor Nair, Siddharth, Walsh, Timothy F, Pickrell, Greg, Semperlotti, Fabio

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 27.02.2023
    Vydáno v arXiv.org (27.02.2023)
    “…This study presents a deep learning based methodology for both remote sensing and design of acoustic scatterers. The ability to determine the shape of a…”
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    Paper