GitHub

Real-time anomaly detection system with multiple ML algorithms (Isolation Forest, Statistical Z-score, LSTM Autoencoder) and ensemble voting for streaming data processing.

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IEEE

Anomaly Detection in Complex Systems Using Extended Isolation Forest and Denoising Autoencoder

Abstract: In this paper, we propose an anomaly detection model based on Extended Isolation Forest and Denoising Autoencoder, which achieves unsupervised anomaly detection with good generalization ...
The Lancet

Rethinking health-care systems to tackle social isolation and frailty

fDepartment of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA gCenter on Aging and Health, Johns Hopkins University, Baltimore, MD, USA Ageing ...