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process optimization » model optimization (Expand Search)
led optimization » lead optimization (Expand Search), yet optimization (Expand Search), based optimization (Expand Search)
simple process » single process (Expand Search), complex process (Expand Search), sample processing (Expand Search)
binary simple » binary image (Expand Search), binary people (Expand Search)
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Showing 1 - 16 results of 16 for search '(( binary simple process optimization algorithm ) OR ( library based led optimization algorithm ))*', query time: 0.32s Refine Results
  1. 1
    Homomorphic binary tree.

    Homomorphic binary tree. by Jianhua He (341366)

    Published 2024
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  2. 2
    The illustration depicts our CQ-CNN architecture for binary image classification.

    The illustration depicts our CQ-CNN architecture for binary image classification. by Mominul Islam (3513758)

    Published 2025
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  3. 3
    Face recognition accuracy of distinctive ways.

    Face recognition accuracy of distinctive ways. by Yan Liu (25061)

    Published 2024
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  4. 4
    Changes in loss curves of different models.

    Changes in loss curves of different models. by Yan Liu (25061)

    Published 2024
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  5. 5
    RFB structure.

    RFB structure. by Yan Liu (25061)

    Published 2024
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  6. 6
    Facial recognition flowchart in FaceNet network.

    Facial recognition flowchart in FaceNet network. by Yan Liu (25061)

    Published 2024
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  7. 7
    Visualization results of face recognition.

    Visualization results of face recognition. by Yan Liu (25061)

    Published 2024
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  8. 8
    ROC curves of different models.

    ROC curves of different models. by Yan Liu (25061)

    Published 2024
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  9. 9
    Test environment for research.

    Test environment for research. by Yan Liu (25061)

    Published 2024
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  10. 10
    Attention module.

    Attention module. by Yan Liu (25061)

    Published 2024
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  11. 11
    Feature matching errors of different models.

    Feature matching errors of different models. by Yan Liu (25061)

    Published 2024
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  12. 12
    Schematic diagram of P-Net, R-Net, O-Net models.

    Schematic diagram of P-Net, R-Net, O-Net models. by Yan Liu (25061)

    Published 2024
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  13. 13
    Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment

    Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment by Jianfang Cao (1881379)

    Published 2019
    “…<div><p>An image classification algorithm based on adaptive feature weight updating is proposed to address the low classification accuracy of the current single-feature classification algorithms and simple multifeature fusion algorithms. …”
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  14. 14
    R‑BIND: An Interactive Database for Exploring and Developing RNA-Targeted Chemical Probes

    R‑BIND: An Interactive Database for Exploring and Developing RNA-Targeted Chemical Probes by Brittany S. Morgan (7554242)

    Published 2019
    “…These tools and resources can be used to design small molecule libraries, optimize lead ligands, or select targets, probes, assays, and control experiments. …”
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  15. 15
    R‑BIND: An Interactive Database for Exploring and Developing RNA-Targeted Chemical Probes

    R‑BIND: An Interactive Database for Exploring and Developing RNA-Targeted Chemical Probes by Brittany S. Morgan (7554242)

    Published 2019
    “…These tools and resources can be used to design small molecule libraries, optimize lead ligands, or select targets, probes, assays, and control experiments. …”
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  16. 16
    R‑BIND: An Interactive Database for Exploring and Developing RNA-Targeted Chemical Probes

    R‑BIND: An Interactive Database for Exploring and Developing RNA-Targeted Chemical Probes by Brittany S. Morgan (7554242)

    Published 2019
    “…These tools and resources can be used to design small molecule libraries, optimize lead ligands, or select targets, probes, assays, and control experiments. …”
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