Výsledky vyhledávání - convolutional autoencoder-model verification~

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  1. 1

    Convolutional Autoencoder Model for Finger-Vein Verification Autor Hou, Borui, Yan, Ruqiang

    ISSN: 0018-9456, 1557-9662
    Vydáno: New York IEEE 01.05.2020
    “…This paper presents a novel deep learning-based method that integrates a Convolutional Auto-Encoder (CAE…”
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    Journal Article
  2. 2

    DWSCNN Online Signature Verification Algorithm Based on CAE-MV Feature Dimensionality Reduction Autor Zheng, Jianbin, Chen, Ziyao, Huang, Liping, Gao, Yifan, Yu, Xiangxiang, Wang, Hui, Yang, Jiamei, Wang, Yu

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 2024
    Vydáno v IEEE access (2024)
    “…In recent years, with the rapid advancements in deep learning technologies, particularly deep neural networks, signature verification has seen significant improvements in accuracy…”
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    Journal Article
  3. 3

    Intrusion Detection for Blockchain‐Based Internet of Things Using Gaussian Mixture–Fully Convolutional Variational Autoencoder Model Autor Om Kumar, C. U., Marappan, Suguna, Murugeshan, Bhavadharini, Beaulah, P. Mercy Rajaselvi

    ISSN: 1055-7148, 1099-1190
    Vydáno: Chichester Wiley Subscription Services, Inc 01.11.2024
    “…ABSTRACT The Internet of Things (IoT) is an evolving paradigm that has dramatically transformed the traditional style of living into a smart lifestyle. IoT…”
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    Journal Article
  4. 4

    Hybrid Learning Model-Based Inter-turn Short Circuit Fault Diagnosis of PMSM Autor Li, Hongjie, Shen, Jiachen, Shi, Cenwei, Shi, Tingna

    Vydáno: IEEE 28.11.2023
    “… Based on U-shaped network(U-net) and stacked autoencoder model (SAE), we propose a hybrid model for permanent magnet motor (PMSM…”
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    Konferenční příspěvek
  5. 5

    Automated Object Recognition System based on Convolutional Autoencoder Autor Prystavka, Pylyp, Cholyshkina, Olha, Dolgikh, Serge, Karpenko, Denys

    ISBN: 1728167590, 9781728167596
    Vydáno: IEEE 01.09.2020
    “…, convolutional autoencoders and classifying perceptrons. An originally developed model that includes autoencoder preprocessing for compression and extraction of informative…”
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    Konferenční příspěvek
  6. 6

    Patch-based Finger Vein Verification using Convolutional Variational Autoencoder Autor Ismayilov, Raul, Arican, Tugce, Spreeuwers, Luuk, Zeinstra, Chris

    Vydáno: IEEE 11.04.2024
    “… This paper investigates a novel approach to improve the accuracy and robustness of patch-based finger vein verification using a convolutional variational autoencoder (CVAE…”
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