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Showing 41 - 60 results of 4,988 for search '(( algorithm python function ) OR ( ((algorithm pca) OR (algorithm b)) function ))*', query time: 0.59s Refine Results
  1. 41
    The optimal solution set of HN by using different algorithms.

    The optimal solution set of HN by using different algorithms. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  2. 42
    Search Algorithms and Loss Functions for Bayesian Clustering

    Search Algorithms and Loss Functions for Bayesian Clustering by David B. Dahl (11761055)

    Published 2022
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  3. 43
    Convergence curves of the voltage profile improvement by using (a) the HFPSO algorithm and (b) the PSO algorithm.

    Convergence curves of the voltage profile improvement by using (a) the HFPSO algorithm and (b) the PSO algorithm. by Abdullah Khan (377292)

    Published 2020
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  4. 44
    Convergence curves of voltage stability enhancement based on (a) the HFPSO algorithm and (b) the PSO algorithm.

    Convergence curves of voltage stability enhancement based on (a) the HFPSO algorithm and (b) the PSO algorithm. by Abdullah Khan (377292)

    Published 2020
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  5. 45
    SP results of algorithms in the CEC 2009 test functions.

    SP results of algorithms in the CEC 2009 test functions. by Vahid Goodarzimehr (21343124)

    Published 2025
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  6. 46
    MS results of algorithms in the CEC 2009 test functions.

    MS results of algorithms in the CEC 2009 test functions. by Vahid Goodarzimehr (21343124)

    Published 2025
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  7. 47
    Functions of genes, detected simultaneously in 3 "diseased" blocks («Prostate Disease», «PCa», «Not PCa») and missing in the "Healthy" block and one gene (HRAS), found only in the block "Healthy" (STRING data).

    Functions of genes, detected simultaneously in 3 "diseased" blocks («Prostate Disease», «PCa», «Not PCa») and missing in the "Healthy" block and one gene (HRAS), found only in the... by O. E. Bryzgunova (6577043)

    Published 2019
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  8. 48
    Schematics for gmxapi operations.

    Schematics for gmxapi operations. by M. Eric Irrgang (4487278)

    Published 2022
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  9. 49
    gmxapi usage examples.

    gmxapi usage examples. by M. Eric Irrgang (4487278)

    Published 2022
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  10. 50
    Python scripts used to model CPU errors by Poisson distribution density mass function and to draw graph of Poisson events (needs Matplot, SciPy, PysimpleGUI and NumPy)

    Python scripts used to model CPU errors by Poisson distribution density mass function and to draw graph of Poisson events (needs Matplot, SciPy, PysimpleGUI and NumPy) by Santhosh Kumar Rajamani (13023678)

    Published 2022
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  11. 51
    PCA calculation FRHGs score.

    PCA calculation FRHGs score. by Lixia Chen (614030)

    Published 2023
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  12. 52
    Convergence curves of total fuel cost minimization based on (a) the HFPSO algorithm and (b) the PSO algorithm.

    Convergence curves of total fuel cost minimization based on (a) the HFPSO algorithm and (b) the PSO algorithm. by Abdullah Khan (377292)

    Published 2020
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  13. 53
    (a) Radar chart of 4 algorithms, (b) The sorting diagram of 4 algorithms.

    (a) Radar chart of 4 algorithms, (b) The sorting diagram of 4 algorithms. by Yu Liu (6938)

    Published 2025
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  14. 54
    <b>Gene Catalog and Associated Functional Data</b> for BioProject PRJNA1311452

    <b>Gene Catalog and Associated Functional Data</b> for BioProject PRJNA1311452 by Satheeswaran Thangaraj (22187269)

    Published 2025
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  15. 55
    Original data for the study "<b>Improving basin-wide flood estimation from a global hydrological model through spatiotemporal-pattern-</b><b>based </b><b>machine learning</b>"

    Original data for the study "<b>Improving basin-wide flood estimation from a global hydrological model through spatiotemporal-pattern-</b><b>based </b><b>machine learning</b>" by Jiaqing Wang (18814630)

    Published 2024
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  16. 56
    Genes that contribute to PCA and GO terms of enriched and differentially expressed genes. GO, gene ontology; PCA, principal component analysis.

    Genes that contribute to PCA and GO terms of enriched and differentially expressed genes. GO, gene ontology; PCA, principal component analysis. by Tomokatsu Udagawa (11675636)

    Published 2021
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  17. 57
    Available functions in the utility package.

    Available functions in the utility package. by Raul Castañeda (13932971)

    Published 2022
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  18. 58
    Functional PCA With Covariate-Dependent Mean and Covariance Structure

    Functional PCA With Covariate-Dependent Mean and Covariance Structure by Fei Ding (134577)

    Published 2022
    “…<p>Incorporating covariates into functional principal component analysis (PCA) can substantially improve the representation efficiency of the principal components and predictive performance. …”
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  19. 59
    <b></b>Magnetic Kernels: A Theoretical and Algorithmic Framework for the P vs NP Problem

    <b></b>Magnetic Kernels: A Theoretical and Algorithmic Framework for the P vs NP Problem by DURGHAM QARALLEH (21904172)

    Published 2025
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  20. 60
    Available functions in the phase-shifting package.

    Available functions in the phase-shifting package. by Raul Castañeda (13932971)

    Published 2022
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