In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Maintaining adequate CBF is crucial for astronauts' cognitive function during long-duration microgravity, but real-time monitoring in space is ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

This study re-examines the non-linear relationship between inflation and economic growth in Southern African Development ...

A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity ...

Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...

You might have noticed more people taking a pass on alcohol as they discover the physical and mental benefits of an alcohol-free lifestyle. With this trend has come a new generation of nonalcoholic ...