The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
IEEE

A Positive- and Negative-Sequence Equivalent Circuit Model for Linear Induction Machine Adapted to Urban Rail Transit

Abstract: The equivalent circuit model is a crucial tool for estimating the performance of linear induction machines (LIMs), and it is widely used in design, optimization, etc. However, the ...
IEEE

Tabular Data Classification and Regression: XGBoost or Deep Learning With Retrieval-Augmented Generation

Abstract: Tabular data is the most prevalent form of structured data, necessitating robust models for classification and regression tasks. Traditional models like eXtreme Gradient Boosting (XGBoost) ...