بدائل البحث:
processing algorithm » modeling algorithm (توسيع البحث), routing algorithm (توسيع البحث), tracking algorithm (توسيع البحث)
data processing » image processing (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
mesh algorithm » best algorithm (توسيع البحث), mean algorithm (توسيع البحث), means algorithm (توسيع البحث)
element mesh » element method (توسيع البحث), elements mges (توسيع البحث), element te (توسيع البحث)
processing algorithm » modeling algorithm (توسيع البحث), routing algorithm (توسيع البحث), tracking algorithm (توسيع البحث)
data processing » image processing (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
mesh algorithm » best algorithm (توسيع البحث), mean algorithm (توسيع البحث), means algorithm (توسيع البحث)
element mesh » element method (توسيع البحث), elements mges (توسيع البحث), element te (توسيع البحث)
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Automatic generation of mesh diagrams.
منشور في 2025"…Finite element and fatigue analyses are carried out for the key parameters of the structure, and deformation, fatigue and other data that appear in the actual operation process are obtained. …"
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The run time for each algorithm in seconds.
منشور في 2025"…Finally, we use the Laplace approximation to determine a lower bound for the out-of-sample prediction error and derive a scalable expression for the marginal variance of each prediction. …"
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Kidney Transplant Biopsy-derived signature matrix of 18 cell phenotypes (KTB18) for deconvolution using the CIBERSORTx algorithm
منشور في 2025"…<p dir="ltr"><a href="https://www.nature.com/articles/s41587-019-0114-2" rel="noreferrer" target="_blank">CIBERSORTx</a> is an algorithm, accessible through a <a href="https://cibersortx.stanford.edu/index.php" rel="noreferrer" target="_blank">web portal</a>, designed to infer the cellular composition of bulk RNA-seq or microarray data, referred to as "mixture files". …"
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Credit Card Fraud Classification Using Applied Machine Learning – A Comparative Study of 24 ML Algorithms
منشور في 2025"…<p dir="ltr">Credit Card Fraud Classification Using Applied Machine Learning – A Comparative Study of 24 ML Algorithms</p><p dir="ltr">This study describes an empirical evaluation of 24 machine learning models, including Logistic Regression, Decision Trees, Random Forests, Support Vector Machines and Neural Networks using a highly imbalanced fraud dataset that reflects the real-world where the data was culled from. …"
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