Machine Learning for Cyber Physical Systems

Machine Learning for Cyber Physical Systems

Electrical engineering

Computer networks--Access control

Telecommunications engineers

This open access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020. 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.

130p

Beyerer, Jürgen

Maier, Alexander

Niggemann, Oliver

https://library.oapen.org/handle/20.500.12657/46102

Springer Nature

2021

Ani

http://creativecommons.org/licenses/by/4.0/

pdf

English

Proceeding

10.1007/978-3-662-62746-4