بدائل البحث:
random optimization » from optimization (توسيع البحث), carbon optimization (توسيع البحث), rational optimization (توسيع البحث)
codon optimization » wolf optimization (توسيع البحث)
library based » laboratory based (توسيع البحث)
based codon » based color (توسيع البحث), based cohort (توسيع البحث), based action (توسيع البحث)
binary a » binary _ (توسيع البحث), binary b (توسيع البحث), hilary a (توسيع البحث)
a random » _ random (توسيع البحث)
random optimization » from optimization (توسيع البحث), carbon optimization (توسيع البحث), rational optimization (توسيع البحث)
codon optimization » wolf optimization (توسيع البحث)
library based » laboratory based (توسيع البحث)
based codon » based color (توسيع البحث), based cohort (توسيع البحث), based action (توسيع البحث)
binary a » binary _ (توسيع البحث), binary b (توسيع البحث), hilary a (توسيع البحث)
a random » _ random (توسيع البحث)
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41
Data_Sheet_1_Alzheimer’s Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield...
منشور في 2022"…Finally, we implemented and compared the different feature selection algorithms to integrate the structural features, brain networks, and voxel features to optimize the diagnostic identifications of AD using support vector machine (SVM) classifiers. …"
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42
Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles
منشور في 2025"…</p><p dir="ltr"><b>Applications and Model Compatibility:</b></p><p dir="ltr">The dataset is optimized for use in supervised learning workflows and has been tested with algorithms such as:</p><p dir="ltr">Gradient Boosting Machines (GBM),</p><p dir="ltr">Support Vector Machines (SVM-RBF),</p><p dir="ltr">Random Forests, and</p><p dir="ltr">Principal Component Analysis (PCA) for feature reduction.…"