A triple-modular-redundant IoT architecture that substitutes software 'digital twins' (Prophet or TFT forecasts) for failed sensors to preserve majority voting, demonstrated qualitatively on the Intel Berkeley dataset.
Ma- chine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach
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Fault-Tolerant IoT System Using Software-Based "Digital Twin"
A triple-modular-redundant IoT architecture that substitutes software 'digital twins' (Prophet or TFT forecasts) for failed sensors to preserve majority voting, demonstrated qualitatively on the Intel Berkeley dataset.