Machine learning models delivered the strongest performance across nearly all evaluation metrics. CHAID and CART provided the highest and most stable sensitivity, accuracy and discriminatory power, ...

Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.

New research demonstrates that ML can also predict metre-scale laboratory earthquakes, suggesting that, when scaled, similar ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change drives more intense and unpredictable rainfall.

A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...