Data-Driven Anomaly Recognition for Unsupervised Model-Free Fault Detection in Artificial Pancreas-Reference-Cited by-同舟云学术

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Data-Driven Anomaly Recognition for Unsupervised Model-Free Fault Detection in Artificial Pancreas

Published:2020-01 Issue:1 Volume:28 Page:33-47
ISSN:1063-6536
Container-title:IEEE Transactions on Control Systems Technology
language:
Short-container-title:IEEE Trans. Contr. Syst. Technol.

Author:

Meneghetti Lorenzo^ORCID,Terzi Matteo,Del Favero Simone^ORCID,Susto Gian Antonio,Cobelli Claudio^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/87/8944320/08589023.pdf?arnumber=8589023

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