Machine Learning for Cyber Physical Systems

Selected papers from the International Conference ML4CPS 2018

Machine Learning for Cyber Physical Systems
Jürgen Beyerer, Oliver Niggema ...
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Last edited by MARC Bot
November 16, 2020 | History

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. 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.

Publish Date
Publisher
Springer Nature
Pages
136

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Book Details


Edition Notes

Open Access Unrestricted online access

Creative Commons https://creativecommons.org/licenses/by/4.0

English

Published in
Berlin, Heidelberg

The Physical Object

Pagination
1 electronic resource (136 p.)
Number of pages
136

Edition Identifiers

Open Library
OL31369593M
ISBN 13
9783662584859

Work Identifiers

Work ID
OL20693428W

Source records

marc_oapen MARC record

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November 16, 2020 Created by MARC Bot Imported from marc_oapen MARC record