Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2018
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. Cyb...
Saved in:
Other Authors: | , , |
---|---|
Format: | Electronic Book Chapter |
Language: | English |
Published: |
Berlin, Heidelberg
Springer Nature
2019
|
Series: | Technologien für die intelligente Automation
|
Subjects: | |
Online Access: | DOAB: download the publication DOAB: description of the publication |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
MARC
LEADER | 00000naaaa2200000uu 4500 | ||
---|---|---|---|
001 | doab_20_500_12854_32392 | ||
005 | 20210210 | ||
003 | oapen | ||
006 | m o d | ||
007 | cr|mn|---annan | ||
008 | 20210210s2019 xx |||||o ||| 0|eng d | ||
020 | |a 978-3-662-58485-9 | ||
040 | |a oapen |c oapen | ||
024 | 7 | |a 10.1007/978-3-662-58485-9 |c doi | |
041 | 0 | |a eng | |
042 | |a dc | ||
072 | 7 | |a TJK |2 bicssc | |
072 | 7 | |a UNF |2 bicssc | |
072 | 7 | |a UT |2 bicssc | |
072 | 7 | |a UYQ |2 bicssc | |
100 | 1 | |a Beyerer, Jürgen |4 edt | |
700 | 1 | |a Kühnert, Christian |4 edt | |
700 | 1 | |a Niggemann, Oliver |4 edt | |
700 | 1 | |a Beyerer, Jürgen |4 oth | |
700 | 1 | |a Kühnert, Christian |4 oth | |
700 | 1 | |a Niggemann, Oliver |4 oth | |
245 | 1 | 0 | |a Machine Learning for Cyber Physical Systems |b Selected papers from the International Conference ML4CPS 2018 |
260 | |a Berlin, Heidelberg |b Springer Nature |c 2019 | ||
300 | |a 1 electronic resource (136 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
490 | 1 | |a Technologien für die intelligente Automation | |
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a 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. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0 |2 cc |4 https://creativecommons.org/licenses/by/4.0 | ||
546 | |a English | ||
650 | 7 | |a Communications engineering / telecommunications |2 bicssc | |
650 | 7 | |a Data mining |2 bicssc | |
650 | 7 | |a Computer networking & communications |2 bicssc | |
650 | 7 | |a Artificial intelligence |2 bicssc | |
653 | |a Engineering | ||
653 | |a Computational intelligence | ||
653 | |a Computer organization | ||
653 | |a Electrical engineering | ||
653 | |a Data mining | ||
856 | 4 | 0 | |a www.oapen.org |u https://library.oapen.org/bitstream/20.500.12657/23293/1/1006862.pdf |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/32392 |7 0 |z DOAB: description of the publication |