Abstract: Accurate real-time prediction of key quality variables is critical for complex industrial processes like hydrocracking, where data exhibits multivariate nonlinearity, time delays, and ...

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

Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...

Epilepsy is one of the common disorders known to man, with early accounts of the disorder traced back to antiquity.1 It was ...

Background The presence of a coincident intracranial aneurysm (CIA) on the target vessel of patients undergoing mechanical thrombectomy (MT) for acute ischemic stroke (AIS) poses challenges, as the ...