Integrated Transport Resource Catalog

Pepustakaan Pusat Kementerian Perhubungan Republik Indonesia

Title
MACHINE LEARNING FOR CYBER PHYSICAL SYSTEMS
Collection Location
Perpustakaan Politeknik Keselamatan Transportasi Jalan Tegal
Edition
Call Number
006.31 MAN m
ISBN/ISSN
9783662584859
Author(s)
Beyerer, Jürgen
Kühnert, Christian
Niggemann, Oliver
Subject(s)
Machine Learning
Cooperating objects (Computer systems)
Classification
006.31
Series Title
GMD
Electronic Resource
Language
English
Publisher
Springer Vieweg
Publishing Year
2019
Publishing Place
Berlin, Germany
Collation
VII, 136 p.
Abstract/Notes
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.
Specific Detail Info