Search alternatives:
process optimization » robust optimization (Expand Search), model optimization (Expand Search), policy optimization (Expand Search)
driven optimization » design optimization (Expand Search)
binary state » binary image (Expand Search), binary data (Expand Search)
state driven » data driven (Expand Search), wave driven (Expand Search)
same process » damage process (Expand Search), phase process (Expand Search), based process (Expand Search)
binary same » binary image (Expand Search)
Showing 1 - 6 results of 6 for search '(( binary state driven optimization algorithm ) OR ( binary same process optimization algorithm ))', query time: 0.38s Refine Results
  1. 1
    Classification baseline performance.

    Classification baseline performance. by Doaa Sami Khafaga (21463870)

    Published 2025
    Save to List
    Saved in:
  2. 2
    Feature selection results.

    Feature selection results. by Doaa Sami Khafaga (21463870)

    Published 2025
    Save to List
    Saved in:
  3. 3
    ANOVA test result.

    ANOVA test result. by Doaa Sami Khafaga (21463870)

    Published 2025
    Save to List
    Saved in:
  4. 4
    Summary of literature review.

    Summary of literature review. by Doaa Sami Khafaga (21463870)

    Published 2025
    Save to List
    Saved in:
  5. 5
    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
    Save to List
    Saved in:
  6. 6
    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
    “…CardioSpectra formulates athlete profiles as multivariate probabilistic entities across latent diagnostic states, using sparsity-aware inference to generate interpretable risk predictions while optimizing a sensitivity-specificity trade-off tailored to clinical priorities. …”
    Save to List
    Saved in:

Search Tools: