Machine Learning for Cyber Physical Systems
Subtitle: Selected papers from the International Conference ML4CPS 2018
Contributors: Kühnert, Christian; Niggemann, Oliver; Beyerer, Jürgen; Kühnert, Christian; Niggemann, Oliver
Publisher: Springer Nature
Published: 2019
Place of publication: Berlin, Heidelberg
Number of pages: 136
ISBN-13: 9783662584859
Subjects: Computer networking & communications; Communications engineering / telecommunications; Artificial intelligence; Data mining
Description: 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.
Notes: Open Access Unrestricted online access

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

English