بدائل البحث:
phase optimization » whale optimization (توسيع البحث), based optimization (توسيع البحث), path optimization (توسيع البحث)
scale optimization » whale optimization (توسيع البحث), swarm optimization (توسيع البحث), surface optimization (توسيع البحث)
binary marker » binary mask (توسيع البحث)
marker phase » marker base (توسيع البحث), later phase (توسيع البحث), order phase (توسيع البحث)
binary large » binary image (توسيع البحث), binary edge (توسيع البحث)
phase optimization » whale optimization (توسيع البحث), based optimization (توسيع البحث), path optimization (توسيع البحث)
scale optimization » whale optimization (توسيع البحث), swarm optimization (توسيع البحث), surface optimization (توسيع البحث)
binary marker » binary mask (توسيع البحث)
marker phase » marker base (توسيع البحث), later phase (توسيع البحث), order phase (توسيع البحث)
binary large » binary image (توسيع البحث), binary edge (توسيع البحث)
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Datasets and their properties.
منشور في 2023"…In addition, we designed nested transfer (NT) functions and investigated the influence of the function on the level-1 optimizer. The binary Ebola optimization search algorithm (BEOSA) is applied for the level-1 mutation, while the simulated annealing (SA) and firefly (FFA) algorithms are investigated for the level-2 optimizer. …"
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Parameter settings.
منشور في 2023"…In addition, we designed nested transfer (NT) functions and investigated the influence of the function on the level-1 optimizer. The binary Ebola optimization search algorithm (BEOSA) is applied for the level-1 mutation, while the simulated annealing (SA) and firefly (FFA) algorithms are investigated for the level-2 optimizer. …"
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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. …"