Machine Learning for Cyber Physical Systems

Selected papers from the International Conference ML4CPS 2018

This Open Access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions.

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.

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.  

Contributor: Jürgen Beyerer (Edited by), Christian Kühnert (Edited by), Oliver Niggemann (Edited by)

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