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Showing 121 - 140 results of 935 for search '(((( algorithm python function ) OR ( algorithm ai function ))) OR ( algorithm pca function ))', query time: 0.47s Refine Results
  1. 121
    PathOlOgics_RBCs Python Scripts.zip

    PathOlOgics_RBCs Python Scripts.zip by Ahmed Elsafty (16943883)

    Published 2023
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  2. 122
    Statistical results of fitness function acquired by four algorithms in 10 runs (in p.u.).

    Statistical results of fitness function acquired by four algorithms in 10 runs (in p.u.). by Junfang Hao (9656905)

    Published 2020
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  3. 123
    Screening of the potential small-molecular compounds for the treatment of NAFLD and AIS by cMAP analysis.

    Screening of the potential small-molecular compounds for the treatment of NAFLD and AIS by cMAP analysis. by Junjie Su (368807)

    Published 2025
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  4. 124
    Code snippets to add user-specific custom functionality in PyNoetic.

    Code snippets to add user-specific custom functionality in PyNoetic. by Gursimran Singh (575288)

    Published 2025
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  5. 125
    Python implementation from Symplectic decomposition from submatrix determinants

    Python implementation from Symplectic decomposition from submatrix determinants by Jason L. Pereira (11598632)

    Published 2021
    “…Python implementation of the algorithm and demonstration of how to use the functions.…”
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  6. 126
    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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  7. 127
    Disentangling the Contribution of Each Descriptive Characteristic of Every Single Mutation to Its Functional Effects

    Disentangling the Contribution of Each Descriptive Characteristic of Every Single Mutation to Its Functional Effects by C. K. Sruthi (5391104)

    Published 2021
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  8. 128
    Disentangling the Contribution of Each Descriptive Characteristic of Every Single Mutation to Its Functional Effects

    Disentangling the Contribution of Each Descriptive Characteristic of Every Single Mutation to Its Functional Effects by C. K. Sruthi (5391104)

    Published 2021
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  9. 129
    General flow of processing collected data.

    General flow of processing collected data. by Reinhard Chun Wang Chau (12733662)

    Published 2022
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  10. 130
    System specification of high-performance computer.

    System specification of high-performance computer. by Reinhard Chun Wang Chau (12733662)

    Published 2022
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  11. 131
    Fig 6 -

    Fig 6 - by Reinhard Chun Wang Chau (12733662)

    Published 2022
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  12. 132
    SPIRIT diagram showing the schedule of enrollment, allocation, interventions, and assessments of this study.

    SPIRIT diagram showing the schedule of enrollment, allocation, interventions, and assessments of this study. by Reinhard Chun Wang Chau (12733662)

    Published 2022
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  13. 133
    Fig 5 -

    Fig 5 - by Reinhard Chun Wang Chau (12733662)

    Published 2022
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  14. 134
    Brief architecture of the Generative Adversarial Network (GAN) of this study.

    Brief architecture of the Generative Adversarial Network (GAN) of this study. by Reinhard Chun Wang Chau (12733662)

    Published 2022
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  15. 135
    Fig 7 -

    Fig 7 - by Reinhard Chun Wang Chau (12733662)

    Published 2022
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  16. 136
    Modular architecture design of PyNoetic showing all its constituent functions.

    Modular architecture design of PyNoetic showing all its constituent functions. by Gursimran Singh (575288)

    Published 2025
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  17. 137
    Adaptive H-REMD simulation algorithm.

    Adaptive H-REMD simulation algorithm. by Danial Pourjafar-Dehkordi (7165523)

    Published 2021
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  18. 138
    The workflow used to analyze imbalanced and balanced sequences.

    The workflow used to analyze imbalanced and balanced sequences. by Solomon Shiferaw Beyene (9143178)

    Published 2020
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  19. 139
    Performances of Naïve Bayes (NB), Multilayer Perceptron (MLP), Random Forest (RF), Gradient Boosting (GB), Support Vector Machine (SVM) and K- Nearest Neighbors (KNN).

    Performances of Naïve Bayes (NB), Multilayer Perceptron (MLP), Random Forest (RF), Gradient Boosting (GB), Support Vector Machine (SVM) and K- Nearest Neighbors (KNN). by Solomon Shiferaw Beyene (9143178)

    Published 2020
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  20. 140
    Accuracy, sensitivity, specificity and F-score.

    Accuracy, sensitivity, specificity and F-score. by Solomon Shiferaw Beyene (9143178)

    Published 2020
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