Deep learning has become a widely utilized approach for a variety of applications. Some networks, such as Multilayer Perceptrons (MLPs), apply input feature data to compute regression and ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Traffic accident risk forecasting is vital for enhancing the safety of Intelligent Transportation Systems (ITS). While current approaches rely on Spatiotemporal Graph Neural Networks (STGNNs) with ...

Generalized additive models (GAM) were applied to model non-linear relationships, and threshold effects were evaluated using two-piece-wise linear regression. Mediation analysis quantified the ...

Description: This issue is to track a regression introduced in version 4.7.3 of the @azure/functions Node.js library. Problem Version 4.7.3 of @azure/functions upgraded the undici dependency from 5.x ...

Trimming or winsoring outliers can help improve the robustness and interpretability of regression analysis, it's essential to weigh the advantages against the potential disadvantages - Advantages: 1.