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Showing 61 - 80 results of 437 for search '(( algorithm python function ) OR ( algorithm whose functional ))', query time: 0.38s Refine Results
  1. 61
    Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks.

    Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks. by Gursimran Singh (575288)

    Published 2025
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  2. 62
    Scatter plots of PATH<sup>+</sup> and our implementation of TNet-BP’s predictions on a held-out, test subset of PDBBind v2020 refined set for one run (90:10 train:test split ratio, =519) shows that PATH<sup>+</sup> produces better predictions, especially on protein-ligand complexes whose binding affinity that deviate significantly from the mean. This highlights PATH<sup>+</sup>’s generalizability.

    Scatter plots of PATH<sup>+</sup> and our implementation of TNet-BP’s predictions on a held-out, test subset of PDBBind v2020 refined set for one run (90:10 train:test split ratio,... by Yuxi Long (11024307)

    Published 2025
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  3. 63
    A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction methods.

    A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... by Hector Torres (11708207)

    Published 2025
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  4. 64
    Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart.

    Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. by Gursimran Singh (575288)

    Published 2025
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  5. 65
    Results from different ML algorithms.

    Results from different ML algorithms. by Caroline L. Alves (14271413)

    Published 2024
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  6. 66
    Cost functions implemented in Neuroptimus.

    Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

    Published 2024
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  7. 67
    Results of ISEEML classifier at different evolutionary distances.

    Results of ISEEML classifier at different evolutionary distances. by Artem S. Kasianov (8783363)

    Published 2023
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  8. 68
    List of Arabidopsis thaliana, Fagopyrum esculentum and Zea mays RNA-seq samples from transcriptome maps.

    List of Arabidopsis thaliana, Fagopyrum esculentum and Zea mays RNA-seq samples from transcriptome maps. by Artem S. Kasianov (8783363)

    Published 2023
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  9. 69
    Orthofinder orthopairs.

    Orthofinder orthopairs. by Artem S. Kasianov (8783363)

    Published 2023
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  10. 70
    The number of samples retained for the downsampling analysis under different distances.

    The number of samples retained for the downsampling analysis under different distances. by Artem S. Kasianov (8783363)

    Published 2023
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  11. 71
    List of sample groups used for the calculation of Euclidean distance.

    List of sample groups used for the calculation of Euclidean distance. by Artem S. Kasianov (8783363)

    Published 2023
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  12. 72
    Orthofinder orthogroups (excluding orthopairs).

    Orthofinder orthogroups (excluding orthopairs). by Artem S. Kasianov (8783363)

    Published 2023
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  13. 73
    Development and testing of the ISEEML pipeline.

    Development and testing of the ISEEML pipeline. by Artem S. Kasianov (8783363)

    Published 2023
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  14. 74
    Classifier based on neural networks.

    Classifier based on neural networks. by Artem S. Kasianov (8783363)

    Published 2023
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  15. 75
    List of Arabidopsis thaliana RNA-seq samples taken for self-consistency test.

    List of Arabidopsis thaliana RNA-seq samples taken for self-consistency test. by Artem S. Kasianov (8783363)

    Published 2023
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  16. 76
    Testing ISEEML efficiency under alternative methods of orthology inference.

    Testing ISEEML efficiency under alternative methods of orthology inference. by Artem S. Kasianov (8783363)

    Published 2023
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  17. 77
    Concept of the ISEEML classifier and its main characteristics.

    Concept of the ISEEML classifier and its main characteristics. by Artem S. Kasianov (8783363)

    Published 2023
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  18. 78
    Explained variance ration of the PCA algorithm.

    Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

    Published 2025
    “…<div><p>Chest X-ray image classification plays an important role in medical diagnostics. Machine learning algorithms enhanced the performance of these classification algorithms by introducing advance techniques. …”
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  19. 79
    Main parameters of braking system.

    Main parameters of braking system. by Honglei Pang (22693724)

    Published 2025
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  20. 80
    Simulation Results Plot of the SBW System Response: (a) Step response curve of the SBW system; (b) Sine response curve of the SBW system; (c) Steady state error curve of the SBW system.

    Simulation Results Plot of the SBW System Response: (a) Step response curve of the SBW system; (b) Sine response curve of the SBW system; (c) Steady state error curve of the SBW sy... by Honglei Pang (22693724)

    Published 2025
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