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ORCIDML4CPS 2017: Lemgo, Germany
- Jürgen Beyerer, Alexander Maier, Oliver Niggemann:
Machine Learning for Cyber Physical Systems, Selected papers from the International Conference ML4CPS 2017, Lemgo, Germany, September 25-26, 2017. Springer 2020, ISBN 978-3-662-59083-6 - Fazel Ansari, Robert Glawar, Wilfried Sihn:
Prescriptive Maintenance of CPPS by Integrating Multimodal Data with Dynamic Bayesian Networks. 1-8 - Martin Lachmann, Tilman Stark, Martin Golz, Eberhard Manske:
Evaluation of Deep Autoencoders for Prediction of Adjustment Points in the Mass Production of Sensors. 9-16 - Katharina Giese, Jens Eickmeyer, Oliver Niggemann:
Differential Evolution in Production Process Optimization of Cyber Physical Systems. 17-23 - Felix Reinhart, Sebastian von Enzberg, Arno Kühn, Roman Dumitrescu:
Machine Learning for Process-X: A Taxonomy. 25-33 - Ljiljana Stojanovic:
Intelligent edge processing. 35-42 - Andreas Bunte
, Peng Li, Oliver Niggemann:
Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems. 43-51 - Marta Fullen, Peter Schüller, Oliver Niggemann:
Semi-supervised Case-based Reasoning Approach to Alarm Flood Analysis. 53-61 - Heinrich Warkentin, Meike Wocken, Alexander Maier:
Verstehen von Maschinenverhalten mit Hilfe von Machine Learning. 63-71 - Carlos Paiz Gatica, Marco Platzner:
Adaptable Realization of Industrial Analytics Functions on Edge-Devices using Reconfigurable Architectures. 73-80 - Thomas Lewien, Ivan Slimak, Pyare Püschel:
The Acoustic Test System for Transmissions in the VW Group. 81-87
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