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  • Light-weight federated learning-based anomaly detection for time-series data in industrial control systems

    Light-weight federated learning-based anomaly detection for time-series data in industrial control systems

    05/03/2022

    The paper proposed an anomaly detection method that applies the Federated Learning technique to make use of both advantages of distributed learning in different local areas and global updating for all local learning models - FATRAF.

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  • The effect of measurement errors on the performance of the Exponentially Weighted Moving Average control charts for the Ratio of Two Normally Distributed Variables

    The effect of measurement errors on the performance of the Exponentially...

    19/10/2021

    Investigating the effect of measurement errors on the control chart monitoring the ratio of two...

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  • Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management

    Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder...

    24/03/2021

    In recent years, the rapid development and wide application of cutting-edge technologies have...

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  • List of scientific publications of IAD

    List of scientific publications of IAD

    13/07/2020

    List of scientific publications of IAD - Updated: 12 November 2021

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