Friedman ranks of tested methods on CEC2019 benchmark functions. حسب Nebojsa Bacanin (13932723)

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V-shaped transfer functions. حسب Nebojsa Bacanin (13932723)

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Resilts of Friedman and Iman-Davenport tests (<i>α</i> = 0.05). حسب Nebojsa Bacanin (13932723)

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Mean fitness and standard deviation results of compared approaches on CEC2019 benchmark functions. حسب Nebojsa Bacanin (13932723)

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Error rate convergence graphs. حسب Nebojsa Bacanin (13932723)

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COVID-19 dataset description. حسب Nebojsa Bacanin (13932723)

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The result of the Wilcoxon test of presented COFFO against compared methods. حسب Nebojsa Bacanin (13932723)

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COFFO control parameters. حسب Nebojsa Bacanin (13932723)

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Convergence graphs for ten CEC 2019 benchmark functions and direct comparison between COFFO and FFO. حسب Nebojsa Bacanin (13932723)

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The maximum accuracy (lowest error rate) with the least number of ANOVA-ranked genes achieved by different feature filtering methods and classification algorithms refined by SIRRFE... حسب Song Cui (553627)

An optimal solution for the HFS instance. حسب Xiang Tian (4369285)

"…In recent years, due to the advantages of nonlinear access and fully parallel processing, the probe machine has shown powerful computing capabilities and promising applications in solving various combinatorial optimization problems. …"

Process of multi angle facial feature point detection algorithm (The character in the Figure is the first author, with her own consent). حسب Shuangyan Li (502833)

Flowchart of the proposed Margin Weighted Robust Discriminant Score (MW-RDS) algorithm. حسب Sheema Gul (21519289)

An optimization process of the proposed hybrid BEOSA (HBEOSA) combining both SA and FFA methods into BEOSA. حسب Olaide N. Oyelade (14047002)

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The performance of classifiers based on 60 selected mRNAs. حسب Seyed Mahdi Hosseiniyan Khatibi (16791475)

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Selected mRNAs based on association rule mining analysis, for early and late stages of PTC. حسب Seyed Mahdi Hosseiniyan Khatibi (16791475)

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Performance of the ceRNAR package using synthetic data with randomly selected correlation values from 0.8 to 0.9. حسب Yi-Wen Hsiao (13767916)

The performance of the SVM classifier based on 60 (30 plus 30-zeroed) selected mRNAs for GSE 60542 dataset. حسب Seyed Mahdi Hosseiniyan Khatibi (16791475)

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Medium-scale dataset comparative analysis using the number of features selected. حسب Olaide N. Oyelade (14047002)

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Large-scale dataset comparative analysis using the number of features selected. حسب Olaide N. Oyelade (14047002)

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