Real-time event-driven learning in highly volatile systems: a case for embedded machine learning for scada systems

HIGHLIGHTS

  • who: . and colleagues from the Institute of Systems and Robotics, Department of Electrical and Computer Engineering, University of Coimbra, Pólo II, PT-3030, Coimbra, PortugalDepartment of Mechanical and Aerospace Engineering, College of Engineering, Design and Physical Sciences, Brunel University, Kingston Lane , PH, UK have published the Article: Real-Time Event-Driven Learning in Highly Volatile Systems: A case for embedded Machine Learning for SCADA systems, in the Journal: (JOURNAL)
  • what: The aim of fastTracker is to be an efficient tool that follows the process behavior's changes and correctly quantifies the sensitivity indices between . . .

     

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