Multimodal benchmark functions. by Rahila Hafiz (18137254)

“…We conduct simulation experiments and compare the proposed algorithm with the original WOA on thirteen benchmark test functions. …”

Schematic diagram of linear separable support vector machine. by Jianjian Wang (288375)

DataSheet2_Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.CSV by Jian-Kun Song (11711756)

“…Subsequently, a novel diagnostic model comprising PRGs for psoriasis was constructed using a random forest algorithm (ntree = 400). A receiver operating characteristic (ROC) analysis was used to evaluate the classification performance through both internal and external validation. …”

DataSheet3_Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.CSV by Jian-Kun Song (11711756)

“…Subsequently, a novel diagnostic model comprising PRGs for psoriasis was constructed using a random forest algorithm (ntree = 400). A receiver operating characteristic (ROC) analysis was used to evaluate the classification performance through both internal and external validation. …”

DataSheet1_Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.pdf by Jian-Kun Song (11711756)

“…Subsequently, a novel diagnostic model comprising PRGs for psoriasis was constructed using a random forest algorithm (ntree = 400). A receiver operating characteristic (ROC) analysis was used to evaluate the classification performance through both internal and external validation. …”

Details of S-shaped and V-shaped functions. by Yan Wei (32168)

“…The training data were input to the support vector machine for prediction. The proposed method is experimented by comparing it with peers, well-known machine learning models on the IEEE CEC2017 benchmark functions, public datasets, and graduate employment prediction dataset. …”

Parameter settings for the benchmark function experiments. by Yan Wei (32168)

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

Demonstration of the limitations of existing spatial analysis methods, namely nearest neighbor distance (NND), G-cross function and Morisita-Horn index. by Mai Chan Lau (3135303)

Result of benchmark functions. by Mingjun Li (178925)

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Supplementary file 1_SRC is a potential target of Arctigenin in treating triple-negative breast cancer: based on machine learning algorithms, molecular modeling and in Vitro test.d... by Yuezhou Huang (9998177)

“…Machine learning algorithms were employed to identify hub genes, followed by validation through molecular docking, molecular dynamics (MD) simulations, and surface plasmon resonance (SPR) assays. …”

Flowchart for proposed GA. by Dhulfiqar Hakeem Dhayef (17729684)

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Weighted normalized decision matrix. by Dhulfiqar Hakeem Dhayef (17729684)

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Comparison results. by Dhulfiqar Hakeem Dhayef (17729684)

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Design parameters and their levels. by Dhulfiqar Hakeem Dhayef (17729684)

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Normalized decision matrix. by Dhulfiqar Hakeem Dhayef (17729684)

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Flowchart of the proposed methodology. by Dhulfiqar Hakeem Dhayef (17729684)

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Experiments of the Taguchi design. by Dhulfiqar Hakeem Dhayef (17729684)

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Product information. by Dhulfiqar Hakeem Dhayef (17729684)

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The diagram of the Taguchi experiment. by Dhulfiqar Hakeem Dhayef (17729684)

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