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ML4CPS 2018: Karlsruhe, Germany
- Jürgen Beyerer, Christian Kühnert, Oliver Niggemann:
Machine Learning for Cyber Physical Systems, Selected papers from the International Conference ML4CPS 2018, Karlsruhe, Germany, October 23-24, 2018. Springer 2019, ISBN 978-3-662-58484-2 - Christian Beecks, Shreekantha Devasya, Ruben Schlutter:
Machine Learning for Enhanced Waste Quantity Reduction: Insights from the MONSOON Industry 4.0 Project. 1-6 - Uwe Frieß, Martin Kolouch, Matthias Putz:
Deduction of time-dependent machine tool characteristics by fuzzy-clustering. 7-17 - Alexander Graß, Christian Beecks, José Angel Carvajal Soto
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Unsupervised Anomaly Detection in Production Lines. 18-25 - Gerd Gröner:
A Random Forest Based Classifier for Error Prediction of Highly Individualized Products. 26-35 - Thomas Bernard, Christian Kühnert, Enrique Campbell:
Web-based Machine Learning Platform for Condition- Monitoring. 36-45 - Jonathan Krauß
Selection and Application of Machine Learning- Algorithms in Production Quality. 46-57 - Oliver Rettig, Silvan Müller, Marcus Strand, Darko Katic:
Which deep artifical neural network architecture to use for anomaly detection in Mobile Robots kinematic data? 58-65 - Johannes Sailer, Christian Frey, Christian Kühnert:
GPU GEMM-Kernel Autotuning for scalable machine learners. 66-76 - Anke Stoll, Norbert Pierschel, Ken Wenzel, Tino Langer:
Process Control in a Press Hardening Production Line with Numerous Process Variables and Quality Criteria. 77-86 - Klaudia Kovacs, Fazel Ansari, Claudio Geisert, Eckart Uhlmann, Robert Glawar, Wilfried Sihn:
A Process Model for Enhancing Digital Assistance in Knowledge-Based Maintenance. 87-96 - Christian Kühnert, Christian Frey, Ruben Seyboldt:
Detection of Directed Connectivities in Dynamic Systems for Different Excitation Signals using Spectral Granger Causality. 97-106 - Carlos Paiz Gatica, Alexander Boschmann:
Enabling Self-Diagnosis of Automation Devices through Industrial Analytics. 107-115 - Markus Koester:
Making Industrial Analytics work for Factory Automation Applications. 116-122 - Andreas Kuhnle, Gisela Lanza:
Application of Reinforcement Learning in Production Planning and Control of Cyber Physical Production Systems. 123-132 - Jorge Francés-Chust, Joaquín Izquierdo, Idel Montalvo:
LoRaWan for Smarter Management of Water Network: From metering to data analysis. 133-136
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