Suchergebnisse - convolutional autoencoder-model verification

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  1. 1

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

    ISSN: 0018-9456, 1557-9662
    Veröffentlicht: 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 von Zheng, Jianbin, Chen, Ziyao, Huang, Liping, Gao, Yifan, Yu, Xiangxiang, Wang, Hui, Yang, Jiamei, Wang, Yu

    ISSN: 2169-3536, 2169-3536
    Veröffentlicht: Piscataway IEEE 2024
    Veröffentlicht in 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 von Om Kumar, C. U., Marappan, Suguna, Murugeshan, Bhavadharini, Beaulah, P. Mercy Rajaselvi

    ISSN: 1055-7148, 1099-1190
    Veröffentlicht: Chichester Wiley Subscription Services, Inc 01.11.2024
    Veröffentlicht in International journal of network management (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 von Li, Hongjie, Shen, Jiachen, Shi, Cenwei, Shi, Tingna

    Veröffentlicht: 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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  5. 5

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

    ISBN: 1728167590, 9781728167596
    Veröffentlicht: 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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  6. 6

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

    Veröffentlicht: 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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