This study presents a deep learning model for breast cancer detection, achieving 99.24% accuracy and improving clinical ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine ...

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

A diagram illustrating the workflow of the E2E package, from data input to model construction using ensemble methods like Bagging and Stacking, through model evaluation and interpretation, to final ...

Accurate assessment of soil salinity is critical for sustainable agriculture and food security, yet remains technically challenging at fine spatial scales.