SmartData: Toward the Data-Driven Design of Critical Systems

SmartData: Toward the Data-Driven Design of Critical Systems

Machine Learning algorithms and safety models are enabling higher levels of autonomy in modern Cyber-Physical Systems (CPS). Ensuring safe autonomous operation requires strict adherence to timing and security constraints, best expressed in terms of the data consumed rather than tasks executed. This...

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Bibliographic Details
Main Authors: Jose L. Conradi Hoffmann, Antonio A. Frohlich
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Data-driven
critical systems design
cyber-physical systems
data timing
SmartData
Online Access:https://ieeexplore.ieee.org/document/10912475/
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