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Showing 1 - 20 results of 815 for search '(( complement c3 algorithm ) OR ((( second learning algorithm ) OR ( neural coding algorithm ))))', query time: 0.52s Refine Results
  1. 1
    Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code

    Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

    Published 2025
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  2. 2
    The performance matrix of different machine learning algorithms.

    The performance matrix of different machine learning algorithms. by Ahmad M. Al-Omari (20460931)

    Published 2024
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  3. 3
    Machine learning prediction algorithm flow chart.

    Machine learning prediction algorithm flow chart. by Ahmad M. Al-Omari (20460931)

    Published 2024
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  4. 4
    The genome coding scheme.

    The genome coding scheme. by Wenbing Shi (5806160)

    Published 2025
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  5. 5
    Training errors in the second case (%).

    Training errors in the second case (%). by Tuan Anh Nguyen (121944)

    Published 2025
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  6. 6
    Assisted performance in the second case.

    Assisted performance in the second case. by Tuan Anh Nguyen (121944)

    Published 2025
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  7. 7
    State variables in the second case.

    State variables in the second case. by Tuan Anh Nguyen (121944)

    Published 2025
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  8. 8
    Control input in the second case.

    Control input in the second case. by Tuan Anh Nguyen (121944)

    Published 2025
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  9. 9
    Training errors in the second case (%).

    Training errors in the second case (%). by Tuan Anh Nguyen (121944)

    Published 2025
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  10. 10
    Comparison of running time (seconds).

    Comparison of running time (seconds). by Ruhan A (12403982)

    Published 2025
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  11. 11
    Data and code resources.

    Data and code resources. by Sam Hall-McMaster (10343795)

    Published 2025
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  12. 12
    Receiver operating characteristics (ROC) curves and their area under the curve (AUC) for A) C3bc and terminal complement complex (TCC), B) C-reactive protein (CRP), C) D-dimer and D) C3bc and TCC in patients with D-dimer ≥ 0.50 mg/L.

    Receiver operating characteristics (ROC) curves and their area under the curve (AUC) for A) C3bc and terminal complement complex (TCC), B) C-reactive protein (CRP), C) D-dimer and... by Vårin Eiriksdatter Wikan (22379134)

    Published 2025
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  13. 13
    Comparison of the EODA algorithm with existing algorithms in terms of recall.

    Comparison of the EODA algorithm with existing algorithms in terms of recall. by Sunil Kumar (102321)

    Published 2025
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  14. 14
    Comparison of the EODA algorithm with existing algorithms in terms of precision.

    Comparison of the EODA algorithm with existing algorithms in terms of precision. by Sunil Kumar (102321)

    Published 2025
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  15. 15
    Comparison of the EODA algorithm with existing algorithms in terms of F1-Score.

    Comparison of the EODA algorithm with existing algorithms in terms of F1-Score. by Sunil Kumar (102321)

    Published 2025
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  16. 16
    The parameter setting of the evolutionary neural network.

    The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

    Published 2025
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  17. 17
    Cohen’s d effect sizes with 95% confidence intervals (CI) for between group comparisons (DVT and non-DVT) of C3bc, TCC, CRP, and D-dimer.

    Cohen’s d effect sizes with 95% confidence intervals (CI) for between group comparisons (DVT and non-DVT) of C3bc, TCC, CRP, and D-dimer. by Vårin Eiriksdatter Wikan (22379134)

    Published 2025
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  18. 18
    Partial dependence plots using models were DVT is predicted by D-dimer and either C3bc, terminal complement complex (TCC) or C-reactive protein (CRP).

    Partial dependence plots using models were DVT is predicted by D-dimer and either C3bc, terminal complement complex (TCC) or C-reactive protein (CRP). by Vårin Eiriksdatter Wikan (22379134)

    Published 2025
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  19. 19
    The optimal number of clusters identified using the GMM clustering algorithm.

    The optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

    Published 2024
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  20. 20
    Optimal number of clusters identified using the GMM clustering algorithm.

    Optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

    Published 2024
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