Real-Time Event-Driven Learning in Highly Volatile Systems: A Case for Embedded Machine Learning for SCADA Systems-Reference-Cited by-同舟云学术

Real-Time Event-Driven Learning in Highly Volatile Systems: A Case for Embedded Machine Learning for SCADA Systems

Published:2022 Issue: Volume:10 Page:50794-50806
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Goncalves Manuel¹,Sousa Pedro²,Mendes Jerome¹^ORCID,Danishvar Morad³^ORCID,Mousavi Alireza³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Institute of Systems and Robotics, University of Coimbra, Pólo II, Coimbra, Portugal

2. Oncontrol Technologies, Coimbra, Portugal

3. Department of Mechanical and Aerospace Engineering, College of Engineering, Design and Physical Sciences, Brunel University London, London, Uxbridge, U.K.

Funder

project “Eco-Healing-Intelligent Eco-Controller with Self-Healing Capability” through OE-national funds of FCT/MCTES

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09770808.pdf?arnumber=9770808

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3. Input variable selection in time-critical knowledge integration applications: A review, analysis, and recommendation paper

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