يعرض 221 - 240 نتائج من 431 نتيجة بحث عن 'code ((selection algorithm) OR (generation algorithm))', وقت الاستعلام: 0.22s تنقيح النتائج
  1. 221

    Friedman tests for the CEC 2009 problems. حسب Vahid Goodarzimehr (21343124)

    منشور في 2025
    "…MOSRS was robust in finding the best PF in most studied problems. The source codes of the MOSRS algorithm are publicly available at <a href="https://nimakhodadadi.com/algorithms-+-codes" target="_blank">https://nimakhodadadi.com/algorithms-+-codes</a>.…"
  2. 222

    PLOS Open Science Indicators حسب Public Library of Science (276459)

    منشور في 2025
    "…The v10 dataset focuses on detection of five Open Science practices by analysing the XML of published research articles:</p><ul><li>Sharing of research data, in particular data shared in data repositories</li><li>Sharing of code</li><li>Posting of preprints</li><li>Sharing of protocols</li><li>Sharing of study registrations</li></ul><p dir="ltr">The dataset provides data and code generation and sharing rates, the location of shared data and code (whether in Supporting Information or in an online repository). …"
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    BABAPPA GUI: A Codeml-Centered Positive Selection Analysis Software حسب Krishnendu Sinha (22324114)

    منشور في 2025
    "…<p dir="ltr"><b>Abstract</b><br>BABAPPA GUI is a user-friendly graphical front end for a Codeml-dependent positive selection analysis pipeline. It packages three analysis workflows (<code>clip</code>, <code>clipgard</code>, and <code>normal</code>) that wrap alignment QC, tree inference, site- and branch-model Codeml runs, multiple test corrections and result aggregation. …"
  5. 225

    Feature selection, Random Forest, and SEM workflow for simulated stand dataset حسب yang guo (22176595)

    منشور في 2025
    "…The R script demonstrates the following steps:</p><ol><li>Feature selection with the Boruta algorithm</li><li>Random Forest modeling with cross-validation and stepwise variable elimination</li><li>Multicollinearity diagnostics using VIF</li><li>Structural Equation Modeling (SEM) and effect decomposition with <code>piecewiseSEM</code> and <code>semEff</code><b>Notes</b></li><li>The dataset is simulated for reproducibility and does not include raw inventory data.…"
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