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Showing 1 - 20 results of 202 for search '(( python index predicts ) OR ( python plot represented ))', query time: 0.30s Refine Results
  1. 1
    Toxicity profile analysis of top six hits along KDE plot which represent joint distribution of carcinogenicity and oral rat acute toxicity by employing Python Seaborn module.

    Toxicity profile analysis of top six hits along KDE plot which represent joint distribution of carcinogenicity and oral rat acute toxicity by employing Python Seaborn module. by Iqra Ali (15372725)

    Published 2023
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  2. 2
    Representative MSD plots, Fig. 6c,d

    Representative MSD plots, Fig. 6c,d by Hirotake Udono (21008660)

    Published 2025
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  3. 3
    Distribution of the Chengdu XPADPRDA networking system (drawn with Python 3.6).

    Distribution of the Chengdu XPADPRDA networking system (drawn with Python 3.6). by Miaoyuan Xiao (15451337)

    Published 2024
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  4. 4
    Two types of radars and their corresponding ground automatic station layouts (drawn with Python 3.6).

    Two types of radars and their corresponding ground automatic station layouts (drawn with Python 3.6). by Miaoyuan Xiao (15451337)

    Published 2024
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  5. 5
    Feature selection process to reduce variables for predicting acute peritonitis.

    Feature selection process to reduce variables for predicting acute peritonitis. by Ross J. Burton (10941910)

    Published 2021
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  6. 6
    Morphoscanner plotting functions.

    Morphoscanner plotting functions. by Federico Fontana (533670)

    Published 2023
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  7. 7
    Parallel plot showing hyperparameter exploration.

    Parallel plot showing hyperparameter exploration. by Ramona Leenings (11167294)

    Published 2021
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  8. 8
    UMAP plots showing all clusters as obtained by FlowSOM (left) and Phenograph (right) and coloured according to patient origin.

    UMAP plots showing all clusters as obtained by FlowSOM (left) and Phenograph (right) and coloured according to patient origin. by Ross J. Burton (10941910)

    Published 2021
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  9. 9
    Early warning results of hail and lightning identification of two types of weather radar at 2 km height (drawn with Python 3.6).

    Early warning results of hail and lightning identification of two types of weather radar at 2 km height (drawn with Python 3.6). by Miaoyuan Xiao (15451337)

    Published 2024
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  10. 10
    ElectroPredictor: An Application to Predict Mayr’s Electrophilicity <i>E</i> through Implementation of an Ensemble Model Based on Machine Learning Algorithms

    ElectroPredictor: An Application to Predict Mayr’s Electrophilicity <i>E</i> through Implementation of an Ensemble Model Based on Machine Learning Algorithms by Sebastián A. Cuesta (12048044)

    Published 2023
    Subjects: “…theoretical electrophilicity index…”
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  11. 11
    Example of a plot for a class-level metric in a buffer analysis that computes the metrics for the buffer rings.

    Example of a plot for a class-level metric in a buffer analysis that computes the metrics for the buffer rings. by Martí Bosch (8087852)

    Published 2019
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  12. 12
    Total concentration of Burmese python eDNA at colony (dark grey bars) and control (light grey bars) pairs with 95% confidence intervals.

    Total concentration of Burmese python eDNA at colony (dark grey bars) and control (light grey bars) pairs with 95% confidence intervals. by Sophia C. M. Orzechowski (6577349)

    Published 2019
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  13. 13
    A typical severe convective precipitation process from the collaborative network mosaic from three XPADPRAD systems in Chengdu (drawn with Python 3.6).

    A typical severe convective precipitation process from the collaborative network mosaic from three XPADPRAD systems in Chengdu (drawn with Python 3.6). by Miaoyuan Xiao (15451337)

    Published 2024
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  14. 14
    Example plots of PSDs with per-frame tracking errors.

    Example plots of PSDs with per-frame tracking errors. by Ian L. Morgan (11890568)

    Published 2021
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  15. 15
    GraSPy: an Open Source Python Package for Statistical Connectomics

    GraSPy: an Open Source Python Package for Statistical Connectomics by Benjamin Pedigo (6580352)

    Published 2019
    “…We developed GraSPy, an open-source Python toolkit for statistical inference on graphs. …”
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  16. 16
    The contrast between before and after <i>Z</i><sub>h</sub> attenuation on PPI mode value attenuation at the minimum elevation (drawn with Python 3.6).

    The contrast between before and after <i>Z</i><sub>h</sub> attenuation on PPI mode value attenuation at the minimum elevation (drawn with Python 3.6). by Miaoyuan Xiao (15451337)

    Published 2024
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  17. 17
    Example plots of AV values for data with per-frame tracking errors.

    Example plots of AV values for data with per-frame tracking errors. by Ian L. Morgan (11890568)

    Published 2021
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  18. 18
    Usage and benchmarking of Medusa.

    Usage and benchmarking of Medusa. by Gregory L. Medlock (4280971)

    Published 2020
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  19. 19
    Accuracy of the segmentation model.

    Accuracy of the segmentation model. by Owen M. O’Connor (11965460)

    Published 2022
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  20. 20
    Constructing the dynamical law.

    Constructing the dynamical law. by Robert Marsland (8616483)

    Published 2020
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