This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...
Background Although the increased risk of cardiovascular disease in patients with SLE is well-documented, effective tools for ...
Beyond its methodological contribution, the study offers new insights into how stimulus-driven variability and internally generated gain fluctuations evolve over time and between brain areas. The ...
Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational ...
Epilepsy is one of the common disorders known to man, with early accounts of the disorder traced back to antiquity.1 It was ...
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 ...