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Machine Learning for Cyber Physical Systems. Selected papers from the International Conference ML4CPS 2020.
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Abstract
- Summary: This open access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS - Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020. 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.
- Subjects :
- Electrical engineering
Communications engineering / telecommunications
Computer networking & communications
Cyber-physical systems, IoT
Communications Engineering, Networks
Computer Systems Organization and Communication Networks
Cyber-Physical Systems
Computer Engineering and Networks
Machine Learning
Artificial Intelligence
Cognitive Robotics
Internet of Things
Computational intelligence
Computer-based algorithms
Smart grid
Open Access
Industry 4.0
Cybernetics & systems theory
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-662-62746-4
- ISBNs :
- 9783662627464
- Database :
- Jio Institute Digital Library Catalog
- Journal :
- Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2020
- Notes :
- 004811, New Energy, Open Access star Unrestricted online access, Creative Commons by/4.0/ cc http://creativecommons.org/licenses/by/4.0/, English
- Publication Type :
- Book
- Accession number :
- jlc.oai.folio.org.fs00001072.1156d788.e852.49d6.bb56.26a3bf4eb6e0
- Document Type :
- Book; Electronic document