Methodology for detecting anomalies in cyber attack assessment data using Random Forest and Gradient Boosting in machine learning by A. S. Kechedzhiev, O. L. Tsvetkova, A. I. Dubrovina

Subjects: “…data anomaly…”
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Research on anomaly detection model for traffic time series data integrating multiple mechanisms by Peipei ZHANG, Jiaqi LIU

Subjects: “…computer neural networks; long sequence time-series data; anomaly detection; attention mechanism; lstm…”
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A study on improved random forest-based anomaly detection of regional tariff data under distributed photovoltaic access by Shujun Ji, Kai Liu, Bo Ling, Jiadong Li, Jinteng Wang, Xun Ma

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A fully automated hybrid approach for processing high-frequency surface settlement data by Changyu Wang, Zude Ding, Annan Zhou, Zekun Zhu

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