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Machine learning for cyber physical systems : selected papers from the international conference ML4CPS 2018

Author: Jürgen Beyerer
Publisher: Berlin, Germany : Springer Vieweg, [2019]
Series: Technologien für die intelligente Automation : technologies for intelligent automation, Band 9
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Conference papers and proceedings
Congresses
Additional Physical Format: Print version:
Machine learning for cyber physical systems.
Berlin, Germany : Springer Vieweg, [2019]
(OCoLC)1066132680
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Jürgen Beyerer
ISBN: 9783662584859 3662584859
OCLC Number: 1080644907
Description: 1 online resource
Contents: Machine Learning for Enhanced Waste Quantity Reduction: Insights from the MONSOON Industry 4.0 Project --
Deduction of time-dependent machine tool characteristics by fuzzy-clustering --
Unsupervised Anomaly Detection in Production Lines --
A Random Forest Based Classifer for Error Prediction of Highly Individualized Products --
Web-based Machine Learning Platform for Condition-Monitoring --
Selection and Application of Machine Learning-Algorithms in Production Quality --
Which deep artifificial neural network architecture to use for anomaly detection in Mobile Robots kinematic data --
GPU GEMM-Kernel Autotuning for scalable machine learners --
Process Control in a Press Hardening Production Line with Numerous Process Variables and Quality Criteria --
A Process Model for Enhancing Digital Assistance in Knowledge-Based Maintenance --
Detection of Directed Connectivities in Dynamic Systems for Different Excitation Signals using Spectral Granger Causality --
Enabling Self-Diagnosis of Automation Devices through Industrial Analytics --
Making Industrial Analytics work for Factory Automation Applications --
Application of Reinforcement Learning in Production Planning and Control of Cyber Physical Production Systems --
LoRaWan for Smarter Management of Water Network: From metering to data analysis.
Series Title: Technologien für die intelligente Automation : technologies for intelligent automation, Band 9
Responsibility: Jürgen Beyerer, [and 2 others], editors.

Abstract:

This Open Access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. Cyber Physical Systems are characterized by their ability to adapt and to  Read more...

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