To better improve the fitting accuracy and solve the overfitting problem, in this paper, the cart decision tree is used as the strong classifier of the AdaBoost algorithm. The flowchart of the fusion ...

with the dual objectives of controlling the pendulum angle and the cart position through nested control loops. The optimal tuning of PD gains, a critical factor for robust performance, is performed ...

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Abstract: As an important part of railroad equipment, turnout is the weakest part of the track structure and its quality directly affects the safety and quality of railroad transportation. In order to ...

Interdisciplinary Graduate Program in Quantitative Biosciences, Georgia Institute of Technology, Atlanta, Georgia 30332, United States School of Chemistry and Biochemistry, Georgia Institute of ...

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Methods—Using the Classification and Regression Tree (CART) algorithm, we evaluated binary cut points and combination of binary cut points with the 4 clinical scales and head CT imaging measures in ...

The LightRAG Server is designed to provide Web UI and API support. The Web UI facilitates document indexing, knowledge graph exploration, and a simple RAG query interface. LightRAG Server also provide ...

The interaction network was visually edited using Cytoscape software (Smoot et al., 2011). Neural Network (NNET) algorithm is a computational model inspired by biological neural systems and is widely ...

This research aims to build a time prediction system using the Classification and Regression Tree (CART) algorithm to predict service patterns based on historical data. - ...