Machine Learning for Cyber Physical Systems
Selected papers from the International Conference ML4CPS 2017
(Sprache: Englisch)
The work 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 Lemgo,...
Voraussichtlich lieferbar in 3 Tag(en)
versandkostenfrei
Buch (Kartoniert)
54.99 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
- Ratenzahlung möglich
Produktdetails
Produktinformationen zu „Machine Learning for Cyber Physical Systems “
Klappentext zu „Machine Learning for Cyber Physical Systems “
The work 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 Lemgo, October 25th-26th, 2017. 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.
Inhaltsverzeichnis zu „Machine Learning for Cyber Physical Systems “
Autoren-Porträt
Prof. Dr.-Ing. Jürgen Beyerer is Professor at the Department for Interactive Real-Time Systems at the Karlsruhe Institute of Technology. In addition he manages the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB.Dr. Alexander Maier is head of group Machine Learning at Fraunhofer IOSB-INA. His focus is on the development of algorithms for big data applications in Cyber-Physical Systems (diagnostics, optimization, predictive maintenance) and the transfer of research results to industry.
Prof. Dr. Oliver Niggemann is Professor for Artificial Intelligence in Automation. His research interests are in the fields of machine learning and data analysis for Cyber-Physical Systems and in the fields of planning and diagnosis of distributed systems. He is a board member of the research institute inIT and deputy director at the Fraunhofer Application Center Industrial Automation INA located in Lemgo.
Bibliographische Angaben
- 2019, 1st ed. 2020, VII, 87 Seiten, Maße: 16,8 x 24 cm, Kartoniert (TB), Englisch
- Herausgegeben: Jürgen Beyerer, Alexander Maier, Oliver Niggemann
- Verlag: Springer, Berlin
- ISBN-10: 3662590832
- ISBN-13: 9783662590836
- Erscheinungsdatum: 10.04.2019
Sprache:
Englisch
Kommentar zu "Machine Learning for Cyber Physical Systems"
Schreiben Sie einen Kommentar zu "Machine Learning for Cyber Physical Systems".
Kommentar verfassen