بدائل البحث:
field optimization » lead optimization (توسيع البحث), guided optimization (توسيع البحث), linear optimization (توسيع البحث)
cost optimization » dose optimization (توسيع البحث), robust optimization (توسيع البحث), codon optimization (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
based field » pulsed field (توسيع البحث)
based cost » based cross (توسيع البحث), based case (توسيع البحث), based cohort (توسيع البحث)
field optimization » lead optimization (توسيع البحث), guided optimization (توسيع البحث), linear optimization (توسيع البحث)
cost optimization » dose optimization (توسيع البحث), robust optimization (توسيع البحث), codon optimization (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
based field » pulsed field (توسيع البحث)
based cost » based cross (توسيع البحث), based case (توسيع البحث), based cohort (توسيع البحث)
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Datasets and their properties.
منشور في 2023"…<div><p>Feature selection problem represents the field of study that requires approximate algorithms to identify discriminative and optimally combined features. …"
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Parameter settings.
منشور في 2023"…<div><p>Feature selection problem represents the field of study that requires approximate algorithms to identify discriminative and optimally combined features. …"
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Table_1_An efficient decision support system for leukemia identification utilizing nature-inspired deep feature optimization.pdf
منشور في 2024"…Next, a hybrid feature extraction approach is presented leveraging transfer learning from selected deep neural network models, InceptionV3 and DenseNet201, to extract comprehensive feature sets. To optimize feature selection, a customized binary Grey Wolf Algorithm is utilized, achieving an impressive 80% reduction in feature size while preserving key discriminative information. …"