S and V shaped transfer functions. حسب Chenyi Zhu (9383370)

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S- and V-Type transfer function diagrams. حسب Chenyi Zhu (9383370)

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WGCNA and machine learning algorithms. حسب Shushu Wang (6870191)

Variations of loss functions versus epoch number. حسب Xueliang Guo (4797057)

Functional fitness test results of different algorithms. حسب Ling Zhao (111365)

Activation functions: Sigmoid function and ReLU function. حسب Wan-Hua Zhang (21601139)

The algorithm for achieving the research objectives illustrating the process of developing a mathematical model of the braking moment as a function of tire deformation. حسب Bartosz Wieczorek (8098352)

"…<p>The algorithm for achieving the research objectives illustrating the process of developing a mathematical model of the braking moment as a function of tire deformation.…"

Performance validation of different algorithms in two benchmark functions. حسب Wenjing Wang (181404)

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Optimization process of fitness function . حسب Yuehong Zhang (82779)

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

The ALO algorithm optimization flowchart. حسب Wenjing Wang (181404)

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The IALO algorithm solution flowchart. حسب Wenjing Wang (181404)

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The GA iteration result. حسب Jiaqing Huang (5018492)

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GA crossover and mutation process. حسب Jiaqing Huang (5018492)

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The framework for the proposed model and GA-FNN. حسب Jiaqing Huang (5018492)

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The structure for the FNN. حسب Jiaqing Huang (5018492)

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Construction of the PRG score index using integrated machine learning algorithms. حسب Xiangxin Wu (22320058)

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Optimization algorithms performance comparison across benchmark functions. حسب Sundreen Asad Kamal (20390818)

Comparison of convergence curves of different algorithms. حسب Wenjing Wang (181404)

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Table 1_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx حسب Jingjing Chen (293564)

"…A multi-algorithm machine learning framework was employed to optimize predictive performance, with model interpretability achieved through SHapley Additive exPlanations and diagnostic accuracy validated by receiver operating characteristic curves. …"