Coincidence anomaly detection for unsupervised locating of edge localized modes in the DIII-D tokamak dataset

FH O'Shea, S Joung, DR Smith… - Machine Learning …, 2024 - iopscience.iop.org
Using supervised learning to train a machine learning model to predict an on-coming edge
localized mode (ELM) requires a large number of labeled samples. Creating an appropriate …

A Parallel and Asynchronous Approach for Anomaly Detection

Z Ziani, N Emad, M Tsuji, M Sato… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
This article addresses the pressing need for accurate anomaly detection techniques,
particularly for cybersecurity applications. We emphasize the effectiveness of ensemble and …