Machine learning for cyber physical systems : selected papers from the International Conference ML4CPS 2017 / Jürgen Beyerer, Alexander Maier, Oliver Niggemann, editors.

The work 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 Lemgo, October 25th-26th, 2017. Cyber Physical Systems...

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Bibliographic Details
Corporate Author: ML4CPS (Conference) Lemgo, Germany)
Other Authors: Beyerer, Jürgen (Editor), Maier, Alexander (Editor), Niggemann, Oliver (Editor)
Format: eBook
Language:English
Published: Berlin, Germany : Springer Vieweg, 2020.
Series:Technologien für die intelligente Automation, Technologies for Intelligent Automation ; Bd. 11
Subjects:
Online Access:Click for online access
Table of Contents:
  • Prescriptive Maintenance of CPPS by Integrating Multi-modal Data with Dynamic Bayesian Networks
  • Evaluation of Deep Autoencoders for Prediction of Adjustment Points in the Mass Production of Sensors
  • Differential Evolution in Production Process Optimization of Cyber Physical Systems
  • Machine Learning for Process-X: A Taxonomy
  • Intelligent edge processing
  • Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems
  • Semi-supervised Case-based Reasoning Approach to Alarm Flood Analysis
  • Verstehen von Maschinenverhalten mit Hilfe von Machine Learning
  • Adaptable Realization of Industrial Analytics Functions on Edge-Devices using Recongurable Architectures
  • The Acoustic Test System for Transmissions in the VW Group.