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Real-time anomaly detection for streaming data using burst code on a neurosynaptic processor
Qiuwen Chen,
Qinru Qiu
Department of Electrical Engineering & Computer Science
Research output
:
Chapter in Book/Entry/Poem
›
Conference contribution
6
Scopus citations
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Dive into the research topics of 'Real-time anomaly detection for streaming data using burst code on a neurosynaptic processor'. Together they form a unique fingerprint.
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Engineering & Materials Science
Anomaly detection
100%
Computer hardware
56%
Brain
53%
Electric power utilization
47%
Intrusion detection
32%
Data streams
32%
Mobile computing
27%
Pipelines
24%
Throughput
22%