بدائل البحث:
improve optimization » iterative optimization (توسيع البحث), model optimization (توسيع البحث), process optimization (توسيع البحث)
action optimization » reaction optimization (توسيع البحث), function optimization (توسيع البحث), codon optimization (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
based action » based motion (توسيع البحث), based active (توسيع البحث), based fusion (توسيع البحث)
binary may » binary mask (توسيع البحث), binary image (توسيع البحث)
improve optimization » iterative optimization (توسيع البحث), model optimization (توسيع البحث), process optimization (توسيع البحث)
action optimization » reaction optimization (توسيع البحث), function optimization (توسيع البحث), codon optimization (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
based action » based motion (توسيع البحث), based active (توسيع البحث), based fusion (توسيع البحث)
binary may » binary mask (توسيع البحث), binary image (توسيع البحث)
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Table_1_bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease.docx
منشور في 2023"…However, diagnosing AD depends on clinicians’ subjective judgment, which may be missed or misdiagnosed sometimes.</p>Methods<p>This paper establishes a medical prediction model for the first time on the basis of the enhanced particle swarm optimization (SRWPSO) algorithm and the fuzzy K-nearest neighbor (FKNN), called bSRWPSO-FKNN, which is practiced on a dataset related to patients with AD. …"
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Data_Sheet_1_Multiclass Classification Based on Combined Motor Imageries.pdf
منشور في 2020"…And we propose two new multilabel uses of the Common Spatial Pattern (CSP) algorithm to optimize the signal-to-noise ratio, namely MC2CMI and MC2SMI approaches. …"
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Data_Sheet_1_The impact of family urban integration on migrant worker mental health in China.docx
منشور في 2024"…</p>Methods<p>This paper uses multi-dimensional indexes to measure family urban integration, covering economic, social and psychological dimensions, which may consider the complexity of integration. Utilizing a machine learning clustering algorithm, the research endeavors to assess the level of urban integration experienced by migrant workers and their respective families. …"