بدائل البحث:
backing algorithm » tracking algorithm (توسيع البحث), making algorithm (توسيع البحث), tracking algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
elements method » element method (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
backing algorithm » tracking algorithm (توسيع البحث), making algorithm (توسيع البحث), tracking algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
elements method » element method (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
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1021
<b>Force-Position-Speed Planning and Roughness rediction for Robotic Polishing</b>
منشور في 2025"…The improved dung beetle optimization algorithm, back propagation neural network, finite element analysis and response surface method provide a strong guarantee for the selection of robotic polishing process parameters. …"
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1022
Non-Conjugate Variational Bayes for Pseudo-Likelihood Mixed Effect Models
منشور في 2025"…<p>We propose a unified, yet simple to code, non-conjugate variational Bayes algorithm for posterior approximation of generic Bayesian generalized mixed effect models. …"
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1023
High-Dimensional Variable Clustering based on Maxima of a Weakly Dependent Random Process
منشور في 2025"…A data-driven selection method for the tuning parameter is also proposed. …"
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1024
Data Sheet 2_Characterization of the salivary microbiome in healthy individuals under fatigue status.docx
منشور في 2025"…Bioinformatics analyses encompassed assessment of alpha and beta diversity, identification of differential taxa using Linear discriminant analysis Effect Size (LEfSe) with multi-method cross-validation, construction of microbial co-occurrence networks, and screening of fatigue-associated biomarker genera via the Boruta-SHAP algorithm. …"
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1025
Table 3_Characterization of the salivary microbiome in healthy individuals under fatigue status.xlsx
منشور في 2025"…Bioinformatics analyses encompassed assessment of alpha and beta diversity, identification of differential taxa using Linear discriminant analysis Effect Size (LEfSe) with multi-method cross-validation, construction of microbial co-occurrence networks, and screening of fatigue-associated biomarker genera via the Boruta-SHAP algorithm. …"
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1026
Data Sheet 1_Characterization of the salivary microbiome in healthy individuals under fatigue status.docx
منشور في 2025"…Bioinformatics analyses encompassed assessment of alpha and beta diversity, identification of differential taxa using Linear discriminant analysis Effect Size (LEfSe) with multi-method cross-validation, construction of microbial co-occurrence networks, and screening of fatigue-associated biomarker genera via the Boruta-SHAP algorithm. …"
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1027
Table 5_Characterization of the salivary microbiome in healthy individuals under fatigue status.xlsx
منشور في 2025"…Bioinformatics analyses encompassed assessment of alpha and beta diversity, identification of differential taxa using Linear discriminant analysis Effect Size (LEfSe) with multi-method cross-validation, construction of microbial co-occurrence networks, and screening of fatigue-associated biomarker genera via the Boruta-SHAP algorithm. …"
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1028
Table 4_Characterization of the salivary microbiome in healthy individuals under fatigue status.xlsx
منشور في 2025"…Bioinformatics analyses encompassed assessment of alpha and beta diversity, identification of differential taxa using Linear discriminant analysis Effect Size (LEfSe) with multi-method cross-validation, construction of microbial co-occurrence networks, and screening of fatigue-associated biomarker genera via the Boruta-SHAP algorithm. …"
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1029
Table 2_Characterization of the salivary microbiome in healthy individuals under fatigue status.xlsx
منشور في 2025"…Bioinformatics analyses encompassed assessment of alpha and beta diversity, identification of differential taxa using Linear discriminant analysis Effect Size (LEfSe) with multi-method cross-validation, construction of microbial co-occurrence networks, and screening of fatigue-associated biomarker genera via the Boruta-SHAP algorithm. …"
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1030
Table 1_Characterization of the salivary microbiome in healthy individuals under fatigue status.xlsx
منشور في 2025"…Bioinformatics analyses encompassed assessment of alpha and beta diversity, identification of differential taxa using Linear discriminant analysis Effect Size (LEfSe) with multi-method cross-validation, construction of microbial co-occurrence networks, and screening of fatigue-associated biomarker genera via the Boruta-SHAP algorithm. …"
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1031
Global Aridity Index and Potential Evapotranspiration (ET0) Database: Version 3.1
منشور في 2025"…Version 3.0 has been deprecated due to the discovery of a data inconsistency in the calculation of net longwave radiation in the source code used to generate the dataset. …"
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1032
Additional file 1 of The origin and evolution of cultivated rice and genomic signatures of heterosis for yield traits in super-hybrid rice
منشور في 2025"…Each gene's expression data is associated with a specific tissue sample, using a naming convention that includes the gene identifier, variety code, and tissue type, separated by underscores. …"
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1033
CIAHS-Data.xls
منشور في 2025"…For this purpose, we employed the Natural Breaks classification method to reclassify factor values. This method identifies inherent natural grouping points within the data through the Jenks optimization algorithm, maximizing between-class differences while minimizing within-class differences37. …"
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1034
Cell type classification in the 9-dpg leaves.
منشور في 2025"…Associated with <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003469#pbio.3003469.s010" target="_blank">S10 Fig</a>. The code and data associated with this figure can be found at Open Science Framework (osf.io), <a href="https://doi.org/10.17605/OSF.IO/RFCWS" target="_blank">https://doi.org/10.17605/OSF.IO/RFCWS</a>.…"
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1035
Cell type classification in the leaf and sepal.
منشور في 2025"…See also <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003469#pbio.3003469.s009" target="_blank">S9</a> and <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003469#pbio.3003469.s011" target="_blank">S11 Figs</a>. The code and data associated with this figure can be found at Open Science Framework (osf.io), <a href="https://doi.org/10.17605/OSF.IO/RFCWS" target="_blank">https://doi.org/10.17605/OSF.IO/RFCWS</a>.…"
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1036
Multi-Task Learning in Analyzing the Working capacity of MOFs
منشور في 2025"…</p><ul><li><b>CIF files</b>: CIF files for 252,352 MOFs;</li><li><b>Geometric descriptors</b>: 14 geometric descriptors;</li><li><b>Chemical descriptors</b>: 176 chemical descriptors;</li><li><b>Methane_v, Methane_g</b>: Volumetric and gravimetric working capacities for methane adsorption, including methane adsorption data under six pressures across three application scenarios (landfill gas treatment, methane purification, and methane storage);</li><li><b>MTL4MOFsWC</b>: Python code for training the MTL models to predict the working capacity of methane adsorption in MOFs;</li><li><b>best_model_v_full, best_model_v_sim, best_model_g_full, best_model_g_sim</b>: Pre-trained MTL models.…"
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1037
Hippocampal and cortical activity reflect early hyperexcitability in an Alzheimer's mouse model
منشور في 2025"…</b></p><p dir="ltr">*Correspondence: Klaus Linkenkaer-Hansen (klaus.linkenkaer@cncr.vu.nl)</p><p dir="ltr"><br></p><p dir="ltr">In this study, we investigated fE/I, θ-γ PAC, and epileptiform features in hippocampal and cortical local field potentials (LFPs) recorded weekly in freely behaving male APPswe/PS1dE9 (APP/PS1) mice (<i>n</i> = 10) and wildtype controls (<i>n</i> = 10) between 3 and up to and including 11 months of age.</p><p dir="ltr">All data are available upon request. The standalone Python implementation of the fE/I algorithm is available under a CC-BY-NC-SA license at <a href="https://github.com/arthur-ervin/crosci" target="_blank">https://github.com/arthur-ervin/crosci</a>. …"
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1038
<b>An Empirical Evaluation of Software Quality Classification Based on User Feedback Aligned</b><b>with ISO/IEC 25010</b>
منشور في 2025"…<p dir="ltr">Evaluating software quality without access to the source code is a challenging task, as traditional metrics and testing approaches often rely on internal code analysis. …"
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1039
Processed Dataset for “Optimization of Mixed-Model Multi-Manned Assembly Lines for Fuel–Electric Vehicle Co-Production under Workstation Sharing”
منشور في 2025"…It can be used to replicate the analysis and experiments presented in the paper or to test new optimization algorithms for mixed-model assembly line balancing.</p><p dir="ltr">The data are provided in <code>.xlsx</code> format and can be freely accessed for <b>academic and non-commercial purposes only</b>.…"
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1040
Processed Dataset for “Modeling and Optimization of a Mixed-Model Two-Sided Assembly Line Balancing Problem Considering a Workstation-Sharing Mechanism”
منشور في 2025"…</p><p dir="ltr">The data are provided in <code>.xlsx</code> format and may be freely accessed and reused for <b>academic and non-commercial purposes only</b>.…"