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Strengthening Adaptation in Cyber-Physical Systems via Meta-Adaptation Strategies.

, , , , , and . ACM Trans. Cyber Phys. Syst., 1 (3): 13:1-13:25 (2017)

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Adaptable Anomaly Detection in Traffic Flow Time Series., , , , and . MT-ITS, page 1-9. IEEE, (2019)DEECo: Software Engineering for Smart CPS., , and . ERCIM News, (2014)Measuring Convergence Inertia: Online Learning in Self-adaptive Systems with Context Shifts., and . ISoLA (3), volume 13703 of Lecture Notes in Computer Science, page 231-248. Springer, (2022)Run-time Reasoning from Uncertain Observations with Subjective Logic in Multi-Agent Self-Adaptive Cyber-Physical Systems., , , and . SEAMS@ICSE, page 130-141. IEEE, (2021)DEECO: an ensemble-based component system., , , , , and . CBSE, page 81-90. ACM, (2013)Tuning self-adaptation in cyber-physical systems through architectural homeostasis., , , , and . J. Syst. Softw., (2019)Forming Ensembles at Runtime: A Machine Learning Approach., , , and . CoRR, (2021)MEDAL: An AI-Driven Data Fabric Concept for Elastic Cloud-to-Edge Intelligence., , , , and . AINA (3), volume 227 of Lecture Notes in Networks and Systems, page 561-571. Springer, (2021)Formalization of Invariant Patterns for the Invariant Refinement Method., , , , and . Software, Services, and Systems, volume 8950 of Lecture Notes in Computer Science, page 602-618. Springer, (2015)Can Today's Machine Learning Pass Image-Based Turing Tests?, , and . ISC, volume 11723 of Lecture Notes in Computer Science, page 129-148. Springer, (2019)