IEEE

Research on Network Traffic Anomaly Detection Algorithm in Cloud Computing Environment

Abstract: With the rapid development of cloud computing technology, network traffic has shown an explosive growth and complication trend. Traditional methods for detecting abnormal network traffic ...
IEEE

An Improved Data Anomaly Detection Method Based on Isolation Forest

Abstract: An improved data anomaly detection method SA-iForest is proposed to solve the problem of low accuracy, poor execution efficiency and generalization ability of data anomalies detection ...
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 ...