A hybrid intelligent classifier for anomaly detection
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DOI: 10.1016/j.neucom.2019.12.138
Abstract: Abstract The present research is focused on the use of intelligent techniques to perform anomaly detection. This task represents a special concern in complex systems that operate in different regimes. Then, this work proposes a… read more here.
Keywords: classifier; hybrid intelligent; anomaly detection; classifier anomaly ... See more keywords
Cardiac Arrhythmias Automated Screening Using Discrete Fractional-Order Integration Process and Meta Learning Based Intelligent Classifier
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DOI: 10.1109/access.2018.2870689
Abstract: Cardiac arrhythmias reveal multiple morphologies in time-domain waveforms. Abnormal beats reflect the origin and the conduction path of the ectopic heart activation pulses, including supraventricular, junctional, and ventricular arrhythmias and conduction abnormalities. This paper proposes… read more here.
Keywords: meta learning; fractional order; cardiac arrhythmias; learning based ... See more keywords