Search Results - convolutional autoencoder-model verification

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  1. 1

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

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

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

    ISSN: 1055-7148, 1099-1190
    Published: 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 by Li, Hongjie, Shen, Jiachen, Shi, Cenwei, Shi, Tingna

    Published: 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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    Conference Proceeding
  5. 5

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

    ISBN: 1728167590, 9781728167596
    Published: 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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    Conference Proceeding
  6. 6

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

    Published: 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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    Conference Proceeding