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 ...

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 ...

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 ...

Before feeding the training data into the model, it is crucial to carefully preprocess the dataset by identifying and addressing any anomalies. Step 1: The Pauta criterion was applied to establish the ...

The consortium running the European Space Agency's (ESA) Euclid mission has published the most extensive simulation of the cosmos to date. The modeling was based on algorithms developed by UZH ...

Underwater waste detection with YOLOv8 Underwater image enhancement using Dark Channel Prior Water quality classification with XGBoost Aquatic habitat assessment ...