Abstract: Feature selection is a pivotal step in machine learning, aimed at reducing feature dimensionality and improving model performance. Conventional feature selection methods, typically framed as ...

Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale. By integrating daily ...

Abstract: Multi-linear regression (MLR) algorithm is simple but one of the powerful machine learning algorithms for prediction where output linearly depends on the independent variables. This work ...