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IEEE5mon
The Intelligent Traffic Safety System Based on 6G Technology and Random Forest Algorithm
Abstract: The main objective of this study is to explore and evaluate the application potential of combining Sixth Generation (6G) technology and random forest ... data transmission and efficient data ...
Scientific Research Publishing6mon
Machine Learning Models for Pavement Structural Condition Prediction: A Comparative Study of Random Forest (RF) and eXtreme Gradient Boosting (XGBoost) ()
Effective pavement maintenance and rehabilitation decisions rely on both pavement functional and structural condition data. Traditionally ... of this paper to develop machine learning models—Random ...
Frontiers3y
Usefulness of Random Forest Algorithm in Predicting Severe Acute Pancreatitis
Background and Aims: This study aimed to develop an interpretable random forest model for predicting severe acute ... All statistical analysis were performed in the R and STATA software. A data flow ...
Frontiers3y
A Comparison of XGBoost, Random Forest, and Nomograph for the Prediction of Disease Severity in Patients With COVID-19 Pneumonia: Implications of Cytokine and Immune Cell Profile
A logistic regression function (LR model), Random Forest, and XGBoost models were developed ... All statistical analyses were performed in the R and STATA software. Data flow diagram of our study is ...
ahajournals.org3y
Posterior National Institutes of Health Stroke Scale Improves Prognostic Accuracy in Posterior Circulation Stroke
Random forest classification algorithm and constrained optimization were used to ... 202 were in the derivation cohort and 65 in the prospective validation cohort. The flow diagram of included ...
Scientific Research Publishing3y
A Data-Driven Car-Following Model Based on the Random Forest ()
1 College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao, China. 2 Shandong Intelligent Green Manufacturing Technology and Equipment Collaborative Innovation ...
marktechpost4y
TensorFlow Open Sources TensorFlow Decision Forests (TF-DF) For Training, Serving And Interpreting Decision Forest Models
TensorFlow Open Sources TensorFlow Decision Forests (TF-DF). TF-DF is a collection of production-ready algorithms for training, serving, and interpreting decision forest models, including random ...