بدائل البحث:
generation algorithm » genetic algorithm (توسيع البحث), detection algorithm (توسيع البحث), encryption algorithm (توسيع البحث)
selection algorithm » detection algorithm (توسيع البحث), detection algorithms (توسيع البحث), prediction algorithms (توسيع البحث)
generation algorithm » genetic algorithm (توسيع البحث), detection algorithm (توسيع البحث), encryption algorithm (توسيع البحث)
selection algorithm » detection algorithm (توسيع البحث), detection algorithms (توسيع البحث), prediction algorithms (توسيع البحث)
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Friedman tests for the CEC 2009 problems.
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>.…"
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PLOS Open Science Indicators
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
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. …"
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225
Feature selection, Random Forest, and SEM workflow for simulated stand dataset
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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