Abstract: Objective: To explore the optimization of XGBoost algorithm parameters based on heuristic algorithms, thereby enhancing the classification accuracy of the algorithm. Methods: For the binary ...

This project is a simulation of various distributed computing algorithms implemented in Scala using the Akka framework. We use lightbend telemetry to monitor the performance of the simulation. The ...

A fully interactive web simulator for understanding X's recommendation architecture. This project focuses on pipeline-level simulation (not production-level reproduction), aligned with the open-source ...

ABSTRACT: Accurate prediction of survey response rates is essential for optimizing survey design and ensuring high-quality data collection. Traditional methods often struggle to capture the complexity ...

Hypoxemia is the most common complication of sedated gastrointestinal endoscopy and can lead to serious consequences. Predicting and preventing hypoxemia remains challenging. Accurate prediction using ...

Accurate prediction of survey response rates is essential for optimizing survey design and ensuring high-quality data collection. Traditional methods often struggle to capture the complexity and ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

For the low efficiency and poor generalization ability of path planning algorithm of industrial robots, this work proposes an adaptive field co-sampling algorithm (AFCS). Firstly, the environment ...