بدائل البحث:
elimination algorithm » maximization algorithm (توسيع البحث), optimization algorithms (توسيع البحث), segmentation algorithm (توسيع البحث)
codon optimization » wolf optimization (توسيع البحث)
also feature » a feature (توسيع البحث), all features (توسيع البحث), wise feature (توسيع البحث)
binary task » binary mask (توسيع البحث)
elimination algorithm » maximization algorithm (توسيع البحث), optimization algorithms (توسيع البحث), segmentation algorithm (توسيع البحث)
codon optimization » wolf optimization (توسيع البحث)
also feature » a feature (توسيع البحث), all features (توسيع البحث), wise feature (توسيع البحث)
binary task » binary mask (توسيع البحث)
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1
Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm
منشور في 2025"…The binary GWO algorithm identifies the most relevant features from </p><p dir="ltr">dermatological images, eliminating redundancy and reducing the computational burden. …"
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2
Data_Sheet_3_sigFeature: Novel Significant Feature Selection Method for Classification of Gene Expression Data Using Support Vector Machine and t Statistic.docx
منشور في 2020"…Data classification in response to a certain treatment is an extremely important aspect for differentially expressed genes in making present/absent calls. Many feature selection algorithms have been developed including the support vector machine recursive feature elimination procedure (SVM-RFE) and its variants. …"
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3
Data_Sheet_2_sigFeature: Novel Significant Feature Selection Method for Classification of Gene Expression Data Using Support Vector Machine and t Statistic.docx
منشور في 2020"…Data classification in response to a certain treatment is an extremely important aspect for differentially expressed genes in making present/absent calls. Many feature selection algorithms have been developed including the support vector machine recursive feature elimination procedure (SVM-RFE) and its variants. …"
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4
Data_Sheet_1_sigFeature: Novel Significant Feature Selection Method for Classification of Gene Expression Data Using Support Vector Machine and t Statistic.docx
منشور في 2020"…Data classification in response to a certain treatment is an extremely important aspect for differentially expressed genes in making present/absent calls. Many feature selection algorithms have been developed including the support vector machine recursive feature elimination procedure (SVM-RFE) and its variants. …"