Titlebook: Enterprise Design, Operations, and Computing. EDOC 2023 Workshops ; IDAMS, iRESEARCH, MI Tiago Prince Sales,Sybren de Kinderen,Marten van S

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Nabil Abu el Ata,Rudolf Schmandtpetition-, privacy sensitive data sharing. However, there is limited research regarding the deployment of federated learning in data spaces. Extending earlier work, this paper documents the results of experimental development of a federated learning model for smart truck parking and its instantiatio

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https://doi.org/10.1007/978-3-319-34159-0ween physical systems and their virtual representations. This digital twin concept is gaining importance especially in the design of complex IoT and Cyber-Physical systems. At design time a digital twin can in fact be used to represent the to-be system reflecting its characteristics in the digital w

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David B. Humphrey,Allen N. Berger digital twins is continually evolving from simple decision support, via decision augmentation for end users to autonomous decision automation. This evolution is enabled by increasingly sophisticated technologies used by digital twins, e.g. advanced analytics, IoT and AI. In many applications, multi