Results obtained by different algorithms on 23 benchmark functions. حسب Yuqi Xiong (12343771)

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Convergence curves obtained by different algorithms on 23 benchmark functions. حسب Yuqi Xiong (12343771)

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Different algorithms in 23 benchmark functions to obtain partial boxplot. حسب Yuqi Xiong (12343771)

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Results obtained by different algorithms on CEC2022 benchmark functions. حسب Yuqi Xiong (12343771)

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Convergence curves obtained by different algorithms on CEC2022 benchmark functions. حسب Yuqi Xiong (12343771)

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Loss function value changes in CNN training changes with epochs for both training dataset and testing dataset. حسب Jiaxi Wang (545353)

Compare algorithm parameter settings. حسب Yuqi Xiong (12343771)

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The Precision-Recall curve of both the models. حسب Aastha Vatsyayan (9981916)

"…</p><p>Results</p><p>Using an independent validation dataset of ACMG & AMP classified variants, as well as a patient set of functionally validated variants, we showed how both algorithms perform and can be used to classify large numbers of variants in clinical as well as research settings.…"

A parabolic relationship between prediction errors and learning rates obtained by a cubic learning algorithm. حسب Boluwatife Ikwunne (22238697)

Raw task performance on both experiments, with respect to conditions. حسب Anis Najar (9745561)

Principal component analysis applied to both datasets. حسب Anny K. G. Rodrigues (11689849)

Fuzzy membership function for yaw with . حسب Yasir Mehmood (744452)

Summary of the contrasts obtained from the normalized images for both inclusions as a function of the host type and the wavelength. حسب María Victoria Waks-Serra (21578611)

Fuzzy membership function for the longitudinal velocity with s. حسب Yasir Mehmood (744452)

Four typical nonlinear transformation function curves. حسب Yuqi Xiong (12343771)

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-value on 23 benchmark functions (dim = 30). حسب Yuqi Xiong (12343771)

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Ranking distribution and average ranking on 23 benchmark functions. حسب Yuqi Xiong (12343771)

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Optimum feature set for classification using both core and margin information utilizing GLCM, GRLM, and GLSZM texture methods and SVM-RBF classification algorithm. حسب Laurentius O. Osapoetra (9931759)

Venn diagrams showing overlap of the total of overrepresented/underrepresented kinases for both cohorts. حسب Erica A. K. DePasquale (11851483)

The image of the Aekley function. حسب Zhengyu Xu (8550660)