TY - BOOK ID - 43498 TI - Machine Learning for Cyber Physical Systems AU - Beyerer, Jürgen AU - Kühnert, Christian AU - Niggemann, Oliver PY - 2019 SN - 9783662584859 DB - DOAB KW - Engineering KW - Computational intelligence KW - Computer organization KW - Electrical engineering KW - Data mining UR - https://www.doabooks.org/doab?func=search&query=rid:43498 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. ER -