Automated real-time anomaly detection of temperature sensors through machine-learning
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DOI: 10.1504/ijsnet.2020.10033173
Abstract: Fast identification of faulty sensors is necessary for guaranteeing their robust functions in diverse applications ranging from extreme weather prediction to energy saving to healthcare. We present an automated machine-learning based framework that can detect… read more here.
Keywords: time anomaly; machine learning; real time; time ... See more keywords