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driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
led optimization » lead optimization (Expand Search), yet optimization (Expand Search), based optimization (Expand Search)
library based » laboratory based (Expand Search)
binary ai » binary _ (Expand Search), binary pairs (Expand Search)
ai driven » _ driven (Expand Search), a driver (Expand Search)
based led » based 3d (Expand Search), based log (Expand Search), based l2 (Expand Search)
Showing 1 - 14 results of 14 for search '(( binary ai driven optimization algorithm ) OR ( library based led optimization algorithm ))', query time: 0.54s Refine Results
  1. 1
    Image 1_A multimodal AI-driven framework for cardiovascular screening and risk assessment in diverse athletic populations: innovations in sports cardiology.png

    Image 1_A multimodal AI-driven framework for cardiovascular screening and risk assessment in diverse athletic populations: innovations in sports cardiology.png by Minjin Guo (22751300)

    Published 2025
    “…</p>Methods<p>To address these challenges, we propose a novel AI-driven framework that incorporates two key methodological innovations: CardioSpectra, a structured sparse inference model, and Risk-Stratified Exertional Embedding (RSEE), a domain-specific representation learning strategy. …”
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  2. 2
    Face recognition accuracy of distinctive ways.

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

    Published 2024
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  3. 3
    Changes in loss curves of different models.

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

    Published 2024
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  4. 4
    RFB structure.

    RFB structure. by Yan Liu (25061)

    Published 2024
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  5. 5
    Facial recognition flowchart in FaceNet network.

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

    Published 2024
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  6. 6
    Visualization results of face recognition.

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

    Published 2024
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  7. 7
    ROC curves of different models.

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

    Published 2024
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  8. 8
    Test environment for research.

    Test environment for research. by Yan Liu (25061)

    Published 2024
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  9. 9
    Attention module.

    Attention module. by Yan Liu (25061)

    Published 2024
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  10. 10
    Feature matching errors of different models.

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

    Published 2024
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  11. 11
    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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  12. 12
    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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  13. 13
    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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  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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