Frontiers

Forest-EMCBE: an evolutionary ensemble learning algorithm for multiclass diagnosis of bacterial pneumonia using the CBC dataset

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 ...
Scientific Research Publishing

Sitompul, L.R., Nababan, A.A., Manihuruk, M.L., Ponsen, W.A. and Supriyandi, S. (2025) Comparison of XGBoost, Random Forest and Logistic Regression Algorithms in Stroke Disease ...

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 ...
IEEE

Isolation Forest for Aerospace Anomaly Detection and Predictive Maintenance

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 ...
IEEE

Application of an Optimized Isolation Forest Algorithm to Satellite Fault Detection

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 ...