<b>Force-Position-Speed Planning and Roughness rediction for Robotic Polishing</b> حسب Ma Haohao (19780875)

"…The improved dung beetle optimization algorithm, back propagation neural network, finite element analysis and response surface method provide a strong guarantee for the selection of robotic polishing process parameters. …"

Table 1_Older people and stroke: a machine learning approach to personalize the rehabilitation of gait.docx حسب Elvira Maranesi (8839496)

"…Machine learning (ML) algorithms—Random Forest (RF), Support Vector Machine (SVM), and k-Nearest Neighbors (KNN)—were employed for classification, with RF demonstrating superior performance in accuracy, precision, recall (all exceeding 85%), and F1 score compared to SVM and KNN. …"

Table 1_Metabolic profiles in laryngeal cancer defined two distinct molecular subtypes with divergent prognoses.xlsx حسب Dan Zheng (144729)

"…Specifically, the prognostic model utilized the least absolute shrinkage and selection operator (LASSO) Cox regression, whereas the diagnostic model was built using the Random Forest (RF) algorithm. Furthermore, to ensure the reproducibility, the results of the subtypes and models were validated using three independent bulk RNA datasets and a scRNA-seq dataset.…"

Single neurons in the human substantia nigra encode social learning signals حسب Arianna Davis (21370643)

"…Scripts for carrying out neural analyses are in the neural folder. Note you will also need to download the OSORT offline sorting algorithm, which is linked as a related work here and also cited in the paper.…"

Table 1_Associations between metabolic-inflammatory biomarkers and Helicobacter pylori infection: an interpretable machine learning prediction approach.docx حسب Yue Zhang (30585)

"…In the external Chinese cohort, the TyG association attenuated (P = 0.057), but higher TyG/HDL-C quartiles remained significant. Among 11 algorithms, Random Forest (RF) and Gaussian Process (GP) achieved the highest AUCs on the training set (both 0.97) but dropped markedly on the validation set (both 0.75), indicating overfitting. …"

Data Sheet 1_Metabolic profiles in laryngeal cancer defined two distinct molecular subtypes with divergent prognoses.pdf حسب Dan Zheng (144729)

"…Specifically, the prognostic model utilized the least absolute shrinkage and selection operator (LASSO) Cox regression, whereas the diagnostic model was built using the Random Forest (RF) algorithm. Furthermore, to ensure the reproducibility, the results of the subtypes and models were validated using three independent bulk RNA datasets and a scRNA-seq dataset.…"

Experiment condition. حسب Xingtao Wu (22139242)

"…Finally, the MACOA is applied to the IWKELM and combined with the random forest (RF) dimensionality reduction technique to form the icing diagnostic model. …"

Summary of the CEC-2017 test functions. حسب Xingtao Wu (22139242)

"…Finally, the MACOA is applied to the IWKELM and combined with the random forest (RF) dimensionality reduction technique to form the icing diagnostic model. …"

Importance of the attributes of fan No.21. حسب Xingtao Wu (22139242)

"…Finally, the MACOA is applied to the IWKELM and combined with the random forest (RF) dimensionality reduction technique to form the icing diagnostic model. …"

Pseudo-code of MACOA. حسب Xingtao Wu (22139242)

"…Finally, the MACOA is applied to the IWKELM and combined with the random forest (RF) dimensionality reduction technique to form the icing diagnostic model. …"

Flow chart of the MACOA. حسب Xingtao Wu (22139242)

"…Finally, the MACOA is applied to the IWKELM and combined with the random forest (RF) dimensionality reduction technique to form the icing diagnostic model. …"

The source of the fan datasets and details. حسب Xingtao Wu (22139242)

"…Finally, the MACOA is applied to the IWKELM and combined with the random forest (RF) dimensionality reduction technique to form the icing diagnostic model. …"

Importance of the attributes of fan No.15. حسب Xingtao Wu (22139242)

"…Finally, the MACOA is applied to the IWKELM and combined with the random forest (RF) dimensionality reduction technique to form the icing diagnostic model. …"

Framework of MACOA-IWKELM. حسب Xingtao Wu (22139242)

"…Finally, the MACOA is applied to the IWKELM and combined with the random forest (RF) dimensionality reduction technique to form the icing diagnostic model. …"

Structure chart of the IWKELM. حسب Xingtao Wu (22139242)

"…Finally, the MACOA is applied to the IWKELM and combined with the random forest (RF) dimensionality reduction technique to form the icing diagnostic model. …"

Flow chart of the IWKELM. حسب Xingtao Wu (22139242)

"…Finally, the MACOA is applied to the IWKELM and combined with the random forest (RF) dimensionality reduction technique to form the icing diagnostic model. …"

Experimental results for marginal sample sets. حسب Xingtao Wu (22139242)

"…Finally, the MACOA is applied to the IWKELM and combined with the random forest (RF) dimensionality reduction technique to form the icing diagnostic model. …"

The source and details of the datasets. حسب Xingtao Wu (22139242)

"…Finally, the MACOA is applied to the IWKELM and combined with the random forest (RF) dimensionality reduction technique to form the icing diagnostic model. …"

Research on Olympic medal prediction based on GA-BP and logistic regression model Extended data حسب Sanglin Zhao (20599835)

"…</p><p dir="ltr">Method:</p><p dir="ltr">This article uses the GA-BP algorithm model, combined withgenetic algorithm (GA) and backpropagationneural network (BPNN),to optimize the weightsand bias parameters of the BP neural networkusing the global search capability of genetic algorithm, thereby improvingtraining efficiency and prediction performance.By estimating the number of Olympic gold medals and total medals, verifying the accuracy of the model, and predicting the medal table forthe 2028 Los Angeles Olympics. …"

Feature importance heat map of fan No.21. حسب Xingtao Wu (22139242)

"…Finally, the MACOA is applied to the IWKELM and combined with the random forest (RF) dimensionality reduction technique to form the icing diagnostic model. …"