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Applying MAPE-K control loops for adaptive workflow management in smart factories

open access: yesJournal of Intelligent Information Systems, 2023
Monitoring the state of currently running processes and reacting to ad-hoc situations during runtime is a key challenge in Business Process Management (BPM) .
Lukas Malburg   +2 more
exaly   +2 more sources
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Human–machine Teaming with Small Unmanned Aerial Systems in a MAPE-K Environment

ACM Transactions on Autonomous and Adaptive Systems, 2023
The Human Machine Teaming (HMT) paradigm focuses on supporting partnerships between humans and autonomous machines. HMT describes requirements for transparency, augmented cognition, and coordination that enable far richer partnerships than those found in
Jane Cleland-Huang   +5 more
semanticscholar   +1 more source

A Systematic Review of Statistical and Machine Learning Methods for Electrical Power Forecasting with Reported MAPE Score

open access: yesEntropy, 2020
Electric power forecasting plays a substantial role in the administration and balance of current power systems. For this reason, accurate predictions of service demands are needed to develop better programming for the generation and distribution of power
Eliana Vivas   +2 more
exaly   +2 more sources

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