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Showing 1,781 - 1,800 results of 4,788 for search '(( algorithm brain function ) OR ((( algorithm python function ) OR ( algorithm a function ))))', query time: 0.31s Refine Results
  1. 1781
    Performance across difficulty levels.

    Performance across difficulty levels. by Tarun Khajuria (12117309)

    Published 2025
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  2. 1782
    Supporting data for “The role of forest composition heterogeneity on temperate ecosystem carbon dynamic under climate change"

    Supporting data for “The role of forest composition heterogeneity on temperate ecosystem carbon dynamic under climate change" by Ziyu Lin (9151064)

    Published 2025
    “…<p dir="ltr">This dataset comprises four primary folders to support the research corresponding to the following chapters:</p><ul><li>Chapter 2 Reconstruction of 16-day, 30m, seamless satellite image time-series since 1995 through multi-sensor harmonization, fusion and gap-filling</li></ul><p dir="ltr">In this chapter, I developed a workflow that combines two advanced algorithms to produce a comprehensive data cube on Google Earth Engine (GEE). …”
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  3. 1783
    parameter.

    parameter. by Yanyan Dong (1304145)

    Published 2025
    “…The prediction process uses a large volume of information to identify the details of resources and operational performance in industrial applications. …”
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  4. 1784
    parameter settings.

    parameter settings. by Yanyan Dong (1304145)

    Published 2025
    “…The prediction process uses a large volume of information to identify the details of resources and operational performance in industrial applications. …”
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  5. 1785
    parameter settings.

    parameter settings. by Yanyan Dong (1304145)

    Published 2025
    “…The prediction process uses a large volume of information to identify the details of resources and operational performance in industrial applications. …”
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  6. 1786
    Pseudocode for fuzzification.

    Pseudocode for fuzzification. by Yanyan Dong (1304145)

    Published 2025
    “…The prediction process uses a large volume of information to identify the details of resources and operational performance in industrial applications. …”
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  7. 1787
    Efficiency analysis of FuzzyMath.

    Efficiency analysis of FuzzyMath. by Yanyan Dong (1304145)

    Published 2025
    “…The prediction process uses a large volume of information to identify the details of resources and operational performance in industrial applications. …”
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  8. 1788
    Multivariate analysis of .

    Multivariate analysis of . by Yanyan Dong (1304145)

    Published 2025
    “…The prediction process uses a large volume of information to identify the details of resources and operational performance in industrial applications. …”
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  9. 1789
    Optimized fuzzy rules illustration.

    Optimized fuzzy rules illustration. by Yanyan Dong (1304145)

    Published 2025
    “…The prediction process uses a large volume of information to identify the details of resources and operational performance in industrial applications. …”
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  10. 1790
    FuzzyMath excellence analysis.

    FuzzyMath excellence analysis. by Yanyan Dong (1304145)

    Published 2025
    “…The prediction process uses a large volume of information to identify the details of resources and operational performance in industrial applications. …”
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  11. 1791
    Summary of related studies.

    Summary of related studies. by Yanyan Dong (1304145)

    Published 2025
    “…The prediction process uses a large volume of information to identify the details of resources and operational performance in industrial applications. …”
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  12. 1792
    Defuzzification Output related to .

    Defuzzification Output related to . by Yanyan Dong (1304145)

    Published 2025
    “…The prediction process uses a large volume of information to identify the details of resources and operational performance in industrial applications. …”
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  13. 1793
    Contribution of aggregated rules in .

    Contribution of aggregated rules in . by Yanyan Dong (1304145)

    Published 2025
    “…The prediction process uses a large volume of information to identify the details of resources and operational performance in industrial applications. …”
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  14. 1794
    Relationship analysis between .

    Relationship analysis between . by Yanyan Dong (1304145)

    Published 2025
    “…The prediction process uses a large volume of information to identify the details of resources and operational performance in industrial applications. …”
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  15. 1795
    List of generated rules.

    List of generated rules. by Yanyan Dong (1304145)

    Published 2025
    “…The prediction process uses a large volume of information to identify the details of resources and operational performance in industrial applications. …”
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  16. 1796
    Image 1_MS4A7 based metabolic gene signature as a prognostic predictor in lung adenocarcinoma.jpeg

    Image 1_MS4A7 based metabolic gene signature as a prognostic predictor in lung adenocarcinoma.jpeg by Yan Jiang (12139)

    Published 2025
    “…</p>Methods<p>A prognostic signature for LUAD was developed using the LASSO-Cox regression algorithm with RNA-seq data from 500 LUAD patients in The Cancer Genome Atlas database. …”
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  17. 1797
    Image 3_MS4A7 based metabolic gene signature as a prognostic predictor in lung adenocarcinoma.jpeg

    Image 3_MS4A7 based metabolic gene signature as a prognostic predictor in lung adenocarcinoma.jpeg by Yan Jiang (12139)

    Published 2025
    “…</p>Methods<p>A prognostic signature for LUAD was developed using the LASSO-Cox regression algorithm with RNA-seq data from 500 LUAD patients in The Cancer Genome Atlas database. …”
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  18. 1798
    Image 10_MS4A7 based metabolic gene signature as a prognostic predictor in lung adenocarcinoma.jpeg

    Image 10_MS4A7 based metabolic gene signature as a prognostic predictor in lung adenocarcinoma.jpeg by Yan Jiang (12139)

    Published 2025
    “…</p>Methods<p>A prognostic signature for LUAD was developed using the LASSO-Cox regression algorithm with RNA-seq data from 500 LUAD patients in The Cancer Genome Atlas database. …”
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  19. 1799
    Image 4_MS4A7 based metabolic gene signature as a prognostic predictor in lung adenocarcinoma.jpeg

    Image 4_MS4A7 based metabolic gene signature as a prognostic predictor in lung adenocarcinoma.jpeg by Yan Jiang (12139)

    Published 2025
    “…</p>Methods<p>A prognostic signature for LUAD was developed using the LASSO-Cox regression algorithm with RNA-seq data from 500 LUAD patients in The Cancer Genome Atlas database. …”
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  20. 1800
    Image 8_MS4A7 based metabolic gene signature as a prognostic predictor in lung adenocarcinoma.jpeg

    Image 8_MS4A7 based metabolic gene signature as a prognostic predictor in lung adenocarcinoma.jpeg by Yan Jiang (12139)

    Published 2025
    “…</p>Methods<p>A prognostic signature for LUAD was developed using the LASSO-Cox regression algorithm with RNA-seq data from 500 LUAD patients in The Cancer Genome Atlas database. …”
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