A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Federated tree-based models are popular in many real-world applications owing to their high accuracy and good interpretability. However, the classical synchronous method causes inefficient federated ...

The rapid advancement of Machine Learning (ML) represents novel opportunities to enhance public health research, surveillance, and decision-making. However, there is a lack of comprehensive ...

(C–E) Application of the decision tree machine learning model revealed the pore statistics from the fuel center to the outmost annular region. The data are from ∼50,000 pores.

Exploring the relationship between audio–visual perception in Fuzhou universities and college students' attention restoration quality using machine learning ...

Studying a decision in archerfish reveals an impressive potential of learning capacities and cognitive aspects that are unexpected for decisions made at reflex speed.