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Showing 101 - 120 results of 1,532 for search '(((( algorithm python function ) OR ( algorithm heart function ))) OR ( algorithm brain function ))', query time: 1.05s Refine Results
  1. 101
    Steps of data preprocessing.

    Steps of data preprocessing. by Bernhard Vennemann (7434353)

    Published 2019
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  2. 102
    Principle of novelty detection in cardiac flow patterns.

    Principle of novelty detection in cardiac flow patterns. by Bernhard Vennemann (7434353)

    Published 2019
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  3. 103
    Mild AR scenario measurement overlaid onto the baseline model.

    Mild AR scenario measurement overlaid onto the baseline model. by Bernhard Vennemann (7434353)

    Published 2019
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  4. 104
    3D modeling qualities of the AS single-template models built by including DOPE in the objective function of MODELLER.

    3D modeling qualities of the AS single-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

    Published 2019
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  5. 105
    Data_Sheet_1_Dissect Relationships Between Gene Co-expression and Functional Connectivity in Human Brain.pdf

    Data_Sheet_1_Dissect Relationships Between Gene Co-expression and Functional Connectivity in Human Brain.pdf by Xue Zhang (166886)

    Published 2021
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  6. 106
    Reliability and agreement analysis for inflection thresholds in heart rate and work rate.

    Reliability and agreement analysis for inflection thresholds in heart rate and work rate. by Thomas Nickolay (18121412)

    Published 2024
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  7. 107
    Histogram of classification the AUC indicators for classification after imputing the heart disease dataset.

    Histogram of classification the AUC indicators for classification after imputing the heart disease dataset. by Xing Chen (140292)

    Published 2024
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  8. 108
    3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER.

    3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

    Published 2019
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  9. 109
    Information of nodes and pipes of NYN.

    Information of nodes and pipes of NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  10. 110
    The topology of the NYN.

    The topology of the NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  11. 111
    The result of Wilcoxon signed-rand test.

    The result of Wilcoxon signed-rand test. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  12. 112
    The Simulation and optimization process of pipe diameter selection.

    The Simulation and optimization process of pipe diameter selection. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  13. 113
    Optional pipe diameter and unit price of NYN.

    Optional pipe diameter and unit price of NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  14. 114
    Optional pipe diameter and unit price of HN.

    Optional pipe diameter and unit price of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  15. 115
    The topology of HN.

    The topology of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  16. 116
    Information of nodes and pipes of HN.

    Information of nodes and pipes of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  17. 117
    Data_Sheet_1_Combined brain network topological metrics with machine learning algorithms to identify essential tremor.docx

    Data_Sheet_1_Combined brain network topological metrics with machine learning algorithms to identify essential tremor.docx by Qin Li (36669)

    Published 2022
    “…Background and objective<p>Essential tremor (ET) is a common movement syndrome, and the pathogenesis mechanisms, especially the brain network topological changes in ET are still unclear. …”
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  18. 118
    Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic

    Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic by NELSON L. DIAS (8078003)

    Published 2019
    “…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. …”
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  19. 119
    Default cell detection parameters.

    Default cell detection parameters. by Adam L. Tyson (10892822)

    Published 2021
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  20. 120
    Assignment of signal to individual cell candidates in the third dimension. Saggital sections (i.e. orthogonal to acquisition) shown.

    Assignment of signal to individual cell candidates in the third dimension. Saggital sections (i.e. orthogonal to acquisition) shown. by Adam L. Tyson (10892822)

    Published 2021
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