📖
Machine Learning for Cyber Physical Systems
DOAB Contributor

Machine Learning for Cyber Physical Systems

Author / Organization:
Open Access Books Published 2021 Verification Pending

Overview & Synopsis

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.

Advertisement
SPONSOR CONTENT
Indexed from repository: Directory of Open Access Books (www.doabooks.org)
Loading document from verified source...
Keyboard Shortcuts: ← / → for pages • + / - for zoom • 0 to fit width Powered by Mozilla PDF.js v3.11

Document Information

Document Title Machine Learning for Cyber Physical Systems
Author / Organization DOAB Contributor
Subject & Discipline Engineering
Categories Open Access Books
Publication Year 2021
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website Directory of Open Access Books (www.doabooks.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-142399
Original Source Link Visit Source Page on www.doabooks.org »