بدائل البحث:
identification algorithm » classification algorithm (توسيع البحث), detection algorithm (توسيع البحث)
process identification » process intensification (توسيع البحث), protein identification (توسيع البحث), protein identifications (توسيع البحث)
3d optimization » d optimization (توسيع البحث), led optimization (توسيع البحث), _ optimization (توسيع البحث)
simple process » single process (توسيع البحث), complex process (توسيع البحث), sample processing (توسيع البحث)
binary simple » binary image (توسيع البحث), binary people (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
based 3d » based _ (توسيع البحث)
identification algorithm » classification algorithm (توسيع البحث), detection algorithm (توسيع البحث)
process identification » process intensification (توسيع البحث), protein identification (توسيع البحث), protein identifications (توسيع البحث)
3d optimization » d optimization (توسيع البحث), led optimization (توسيع البحث), _ optimization (توسيع البحث)
simple process » single process (توسيع البحث), complex process (توسيع البحث), sample processing (توسيع البحث)
binary simple » binary image (توسيع البحث), binary people (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
based 3d » based _ (توسيع البحث)
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Psoas muscle CT radiomics-based machine learning models to predict response to infliximab in patients with Crohn’s disease
منشور في 2025"…<i>Z</i> score standardization and independent sample <i>t</i> test were applied to identify optimal predictive features, which were then utilized in seven ML algorithms for training and validation. …"
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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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Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles
منشور في 2025"…</p><p dir="ltr">These biological metrics were used to define a binary toxicity label: entries were classified as toxic (1) or non-toxic (0) based on thresholds from standardized guidelines (e.g., ISO 10993-5:2009) and literature consensus. …"