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Machine Learning for Cyber Physical Systems

This Open Access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Karlsruhe, October 23-24, 2018. Cyb...

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Salvato in:
Natura: Online
Lingua:inglese
Pubblicazione: Springer Nature 2021
Soggetti:
Engineering
Computational intelligence
Computer organization
Electrical engineering
Data mining
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications
thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
Accesso online:1006862
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Riassunto:This Open Access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Karlsruhe, October 23-24, 2018. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.

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