Publikationsdatum:
2024-04-11
Beschreibung:
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.
Schlagwort(e):
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
;
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
Sprache:
Englisch
Format:
image/jpeg
Format:
image/jpeg
