TY  - BOOK
AU  - Beyerer,J�rgen
AU  - Beyerer,J�rgen
AU  - K�hnert,Christian
AU  - K�hnert,Christian
AU  - Niggemann,Oliver
AU  - Niggemann,Oliver
TI  - Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2018
T2  - Technologien f�r die intelligente Automation
SN  - 978-3-662-58485-9
PY  - 2019///
CY  - Berlin, Heidelberg
PB  - Springer Nature
KW  - Artificial intelligence
KW  - bicssc
KW  - Communications engineering / telecommunications
KW  - Computer networking & communications
KW  - Data mining
KW  - Computational intelligence
KW  - Computer organization
KW  - Electrical engineering
KW  - Engineering
N1  - Open Access
N2  - 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
UR  - http://library.oapen.org/handle/20.500.12657/23293
UR  - https://library.oapen.org/bitstream/id/4a5329c3-4177-48a9-b92b-d9cf6b84736c/1006862.pdf
ER  -