Heat-related ED visits for extreme heat were generally higher in early summer than in late summer, suggesting the necessity to consider temporal changes in heat risk when developing nuanced and ...

Machine performance has surpassed human capabilities in various tasks, yet the opacity of complex models limits their adoption in critical fields such as healthcare. Explainable AI (XAI) has emerged ...

Abstract: Generalized additive models (GAMs) have been successfully applied to high dimensional data. However, most existing methods cannot capture the high level feature patterns from complex data.

ABSTRACT: Soil pH is a critical indicator of soil health and fertility, influencing nutrient availability and crop productivity. Leveraging real-time sensor technology allows for high-resolution data ...

Interpretability has drawn increasing attention in machine learning. Partially linear additive models provide an attractive middle ground between the simplicity of generalized linear model and the ...

Melt pool scale models of laser powder bed fusion (LPBF) offer insights into the process-structure-property relationships in additive manufacturing (AM). These models often neglect physical phenomena ...

Species distribution modeling (SDM) has become an indispensable tool in ecological research, enabling scientists to predict species distribution patterns across geographic regions using environmental ...