Erakusten 1 - 13 emaitzak -- 13 bilaketa honetara '"Convolutional autoencoder (CAE)"', Bilaketaren denbora: 0,13s Findu emaitzak
  1. 1
    Unsupervised Multi-Level Feature Extraction for Improvement of Hyperspectral Classification

    Unsupervised Multi-Level Feature Extraction for Improvement of Hyperspectral Classification nork Qiaoqiao Sun, Xuefeng Liu, Salah Bourennane

    Argitaratua 2021-04-01
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    Testu osoa
    Artikulua
  2. 2
    RANet: Relationship Attention for Hyperspectral Anomaly Detection

    RANet: Relationship Attention for Hyperspectral Anomaly Detection nork Yingzhao Shao, Yunsong Li, Li Li, Yuanle Wang, Yuchen Yang, Yueli Ding, Mingming Zhang, Yang Liu, Xiangqiang Gao

    Argitaratua 2023-11-01
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    Testu osoa
    Artikulua
  3. 3
    A Hybrid Autoencoder Network for Unsupervised Image Clustering

    A Hybrid Autoencoder Network for Unsupervised Image Clustering nork Pei-Yin Chen, Jih-Jeng Huang

    Argitaratua 2019-06-01
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    Testu osoa
    Artikulua
  4. 4
    EBARec-BS: Effective Band Attention Reconstruction Network for Hyperspectral Imagery Band Selection

    EBARec-BS: Effective Band Attention Reconstruction Network for Hyperspectral Imagery Band Selection nork Yufei Liu, Xiaorun Li, Ziqiang Hua, Liaoying Zhao

    Argitaratua 2021-09-01
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    Testu osoa
    Artikulua
  5. 5
    River Channel Microgeomorphic Feature Extraction and Potential Sandstorm Source Identification Method Based on a Convolutional Autoencoder Model

    River Channel Microgeomorphic Feature Extraction and Potential Sandstorm Source Identification Method Based on a Convolutional Autoencoder Model nork Kecong Wu, Lirong Chen, Yalige Bai, Xinhang Wang, Danzeng Pingcuo, Zhongpeng Han, Chengshan Wang

    Argitaratua 2025-01-01
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  6. 6
    Multi-perspective Learning Based on Transformer for Stock Price Trend

    Multi-perspective Learning Based on Transformer for Stock Price Trend nork Xiliang Li, Shuoru Chen, Xiaoyan Qiao, Mingli Zhang, Caiming Zhang, Feng Zhao

    Argitaratua 2025-02-01
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    Testu osoa
    Artikulua
  7. 7
    Ultrasonic Weld Quality Inspection Involving Strength Prediction and Defect Detection in Data-Constrained Training Environments

    Ultrasonic Weld Quality Inspection Involving Strength Prediction and Defect Detection in Data-Constrained Training Environments nork Reenu Mohandas, Patrick Mongan, Martin Hayes

    Argitaratua 2024-10-01
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    Testu osoa
    Artikulua
  8. 8
    Multi-Aspect Convolutional-Transformer Network for SAR Automatic Target Recognition

    Multi-Aspect Convolutional-Transformer Network for SAR Automatic Target Recognition nork Siyuan Li, Zongxu Pan, Yuxin Hu

    Argitaratua 2022-08-01
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    Testu osoa
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  9. 9
    Prediction of Contact Fatigue Performance Degradation Trends Based on Multi-Domain Features and Temporal Convolutional Networks

    Prediction of Contact Fatigue Performance Degradation Trends Based on Multi-Domain Features and Temporal Convolutional Networks nork Yu Liu, Yuanbo Liu, Yan Yang

    Argitaratua 2023-09-01
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  10. 10
    A study on hybrid-architecture deep learning model for predicting pressure distribution in 2D airfoils

    A study on hybrid-architecture deep learning model for predicting pressure distribution in 2D airfoils nork Jaehyun Yoon, Jaehyeok Doh

    Argitaratua 2025-01-01
    Gaiak: “...Convolutional autoencoder (CAE)...”
    Testu osoa
    Artikulua
  11. 11
    Canopy Averaged Chlorophyll Content Prediction of Pear Trees Using Convolutional Autoencoder on Hyperspectral Data

    Canopy Averaged Chlorophyll Content Prediction of Pear Trees Using Convolutional Autoencoder on Hyperspectral Data nork Subir Paul, Vinayaraj Poliyapram, Nevrez Imamoglu, Kuniaki Uto, Ryosuke Nakamura, D. Nagesh Kumar

    Argitaratua 2020-01-01
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  12. 12
    Seismic Data Compression Using Deep Learning

    Seismic Data Compression Using Deep Learning nork Emad B. Helal, Omar M. Saad, Ali G. Hafez, Yangkang Chen, Gamal M. Dousoky

    Argitaratua 2021-01-01
    Gaiak: “...Convolutional autoencoders (CAE)...”
    Testu osoa
    Artikulua
  13. 13
    Defect Detection for Enhanced Traceability in Naval Construction

    Defect Detection for Enhanced Traceability in Naval Construction nork Paula Arcano-Bea, Manuel Rubiños, Agustín García-Fischer, Francisco Zayas-Gato, José Luis Calvo-Rolle, Esteban Jove

    Argitaratua 2025-02-01
    Gaiak: “...convolutional autoencoders (CAEs)...”
    Testu osoa
    Artikulua

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