F1 score of edges selected through cross-validation on the random graph dataset. حسب Tomokaze Shiratori (9635271)

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Code حسب Baoqiang Chen (21099509)

"…We divided the dataset into training and test sets, using 70% of the genes for training and 30% for testing. We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …"

Mean rank comparison between ACO vs. WOA. حسب Fizza Shafique (19996292)

Mean rank comparison between LFWOA vs. WOA. حسب Fizza Shafique (19996292)

Mean rank comparison between CMLFWOA vs. WOA. حسب Fizza Shafique (19996292)

Mean rank comparison between PSO vs. WOA. حسب Fizza Shafique (19996292)

Mean rank comparison between APSO vs. WOA. حسب Fizza Shafique (19996292)

(A) Illustration of grouping and segmentation based on the global similarity structure when the number of elements is small. A, B, C, and D represent stimulus elements at different... حسب Yen-Ju Chen (354876)

Mesh Division Schematic Diagram. حسب Nan Ru (9594384)

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Influence of the Roundness Ratio on the Splitting Resistance Performance of the Specimens. حسب Nan Ru (9594384)

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Internal changes of the specimen of 0.82 to 0.84. حسب Nan Ru (9594384)

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Internal changes of the specimen of 0.86 to 0.88. حسب Nan Ru (9594384)

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Internal changes of the specimen of 0.7 to 0.75. حسب Nan Ru (9594384)

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Internal changes of the specimen of 0.87 to 0.9. حسب Nan Ru (9594384)

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Schematic diagram of the generation of polygon vertices. حسب Nan Ru (9594384)

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Stress Nephogram of the Splitting Specimen Process. حسب Nan Ru (9594384)

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Influence of the Aspect Ratio on the Compressive Performance of the Specimens. حسب Nan Ru (9594384)

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Distribution of Splitting Test Loaders. حسب Nan Ru (9594384)

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Internal changes of the specimen of 0.74 to 0.76. حسب Nan Ru (9594384)

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Ultimate Failure Load. حسب Nan Ru (9594384)

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