TY  - BOOK
ED  - Beyerer, Jürgen
ED  - Kühnert, Christian
ED  - Niggemann, Oliver
AB  - 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.
DO  - 10.1007/978-3-662-58485-9
ID  - OAPEN ID: 1006862
KW  - Engineering
KW  - Computational intelligence
KW  - Computer organization
KW  - Electrical engineering
KW  - Data mining
L1  - https://library.oapen.org/bitstream/id/4a5329c3-4177-48a9-b92b-d9cf6b84736c/1006862.pdf
LA  - English
LK  - http://library.oapen.org/handle/20.500.12657/23293
PB  - Springer Nature
PP  - Berlin, Heidelberg
PY  - 2019
TI  - Machine Learning for Cyber Physical Systems : Selected papers from the International Conference ML4CPS 2018
ER  - 
