Rapid diagnosis of bacterial pneumonia is crucial for clinical diagnosis and treatment, but traditional methods are time-consuming. The wide application of machine learning techniques in medical ...

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

Abstract: This research investigates the utilization of the Isolation Forest (IF) algorithm for anomaly identification and the optimization of predictive maintenance in aeronautical systems. Aerospace ...

Abstract: In modern spacecraft systems, the increasing functional integration of satellite platforms has led to the emergence of more complex and diverse fault modes. Timely and accurate ...