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Showing 161 - 180 results of 8,528 for search '(((( algorithm flow function ) OR ( algorithm cells function ))) OR ( algorithm python function ))*', query time: 0.55s Refine Results
  1. 161
    Constructing the dynamical law.

    Constructing the dynamical law. by Robert Marsland (8616483)

    Published 2020
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  2. 162
    Definitions of global parameters used for constructing random ecosystems.

    Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

    Published 2020
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  3. 163
    Average quality scores of the models of the analysis set as a function of the <i>w</i><sub><i>SP</i></sub> with which the DOPE potential has been included in the objective function of MODELLER.

    Average quality scores of the models of the analysis set as a function of the <i>w</i><sub><i>SP</i></sub> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)

    Published 2019
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  4. 164
    Functional annotations of peaks.

    Functional annotations of peaks. by Azusa Tanaka (540528)

    Published 2020
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  5. 165
    Reward function related parameters.

    Reward function related parameters. by Honglei Pang (22693724)

    Published 2025
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  6. 166
    Reverse engineering information flow using stimulus-encoding and stimulus-transfer estimation algorithms.

    Reverse engineering information flow using stimulus-encoding and stimulus-transfer estimation algorithms. by Gabriel Matías Lorenz (21094672)

    Published 2025
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  7. 167
    Workflow from data acquisition to automated diagnostics.

    Workflow from data acquisition to automated diagnostics. by Bernhard Vennemann (7434353)

    Published 2019
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  8. 168
    Valve during diastole with inserts creating an artificial leak.

    Valve during diastole with inserts creating an artificial leak. by Bernhard Vennemann (7434353)

    Published 2019
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  9. 169
    Test section including model of the aortic root with BHV and a flow sensor at the ascending aorta.

    Test section including model of the aortic root with BHV and a flow sensor at the ascending aorta. by Bernhard Vennemann (7434353)

    Published 2019
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  10. 170
    Sinusoidal fit to the measurement data.

    Sinusoidal fit to the measurement data. by Bernhard Vennemann (7434353)

    Published 2019
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  11. 171
    The phases of automated BHV monitoring.

    The phases of automated BHV monitoring. by Bernhard Vennemann (7434353)

    Published 2019
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  12. 172
    Baseline one-class SVM model.

    Baseline one-class SVM model. by Bernhard Vennemann (7434353)

    Published 2019
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  13. 173
    Bar plots of MCI for different AR scenarios.

    Bar plots of MCI for different AR scenarios. by Bernhard Vennemann (7434353)

    Published 2019
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  14. 174
    Steps of data preprocessing.

    Steps of data preprocessing. by Bernhard Vennemann (7434353)

    Published 2019
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  15. 175
    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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  16. 176
    Efficient algorithms to discover alterations with complementary functional association in cancer

    Efficient algorithms to discover alterations with complementary functional association in cancer by Rebecca Sarto Basso (6728921)

    Published 2019
    “…In addition, our algorithms are much faster than the state-of-the-art, allowing the analysis of large datasets of thousands of target profiles from cancer cell lines. …”
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  17. 177
    Image2_Machine-learning-derived radiomics signature of pericoronary tissue in coronary CT angiography associates with functional ischemia.TIF

    Image2_Machine-learning-derived radiomics signature of pericoronary tissue in coronary CT angiography associates with functional ischemia.TIF by Yan Feng (128912)

    Published 2022
    “…<p>Objectives: To determine the association between radiomics signature (Rad-signature) of pericoronary tissue (PCT) in coronary computed tomography angiography (CCTA) and CT-derived fractional flow reserve (CT-FFR), and explore the influential factors of functional ischemia.…”
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  18. 178
    Table1_Machine-learning-derived radiomics signature of pericoronary tissue in coronary CT angiography associates with functional ischemia.DOCX

    Table1_Machine-learning-derived radiomics signature of pericoronary tissue in coronary CT angiography associates with functional ischemia.DOCX by Yan Feng (128912)

    Published 2022
    “…<p>Objectives: To determine the association between radiomics signature (Rad-signature) of pericoronary tissue (PCT) in coronary computed tomography angiography (CCTA) and CT-derived fractional flow reserve (CT-FFR), and explore the influential factors of functional ischemia.…”
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  19. 179
    Image4_Machine-learning-derived radiomics signature of pericoronary tissue in coronary CT angiography associates with functional ischemia.TIF

    Image4_Machine-learning-derived radiomics signature of pericoronary tissue in coronary CT angiography associates with functional ischemia.TIF by Yan Feng (128912)

    Published 2022
    “…<p>Objectives: To determine the association between radiomics signature (Rad-signature) of pericoronary tissue (PCT) in coronary computed tomography angiography (CCTA) and CT-derived fractional flow reserve (CT-FFR), and explore the influential factors of functional ischemia.…”
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  20. 180
    Image1_Machine-learning-derived radiomics signature of pericoronary tissue in coronary CT angiography associates with functional ischemia.TIF

    Image1_Machine-learning-derived radiomics signature of pericoronary tissue in coronary CT angiography associates with functional ischemia.TIF by Yan Feng (128912)

    Published 2022
    “…<p>Objectives: To determine the association between radiomics signature (Rad-signature) of pericoronary tissue (PCT) in coronary computed tomography angiography (CCTA) and CT-derived fractional flow reserve (CT-FFR), and explore the influential factors of functional ischemia.…”
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