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Publication search results
found 51 matches
- 2020
- 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 [contents] - 2019
- 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 [contents] - 2018
- Christian Beecks, Shreekantha Devasya, Ruben Schlutter:
Machine Learning for Enhanced Waste Quantity Reduction: Insights from the MONSOON Industry 4.0 Project. ML4CPS 2018: 1-6 - Thomas Bernard, Christian Kühnert, Enrique Campbell:
Web-based Machine Learning Platform for Condition- Monitoring. ML4CPS 2018: 36-45 - Jorge Francés-Chust, Joaquín Izquierdo, Idel Montalvo:
LoRaWan for Smarter Management of Water Network: From metering to data analysis. ML4CPS 2018: 133-136 - Uwe Frieß, Martin Kolouch, Matthias Putz:
Deduction of time-dependent machine tool characteristics by fuzzy-clustering. ML4CPS 2018: 7-17 - Carlos Paiz Gatica, Alexander Boschmann:
Enabling Self-Diagnosis of Automation Devices through Industrial Analytics. ML4CPS 2018: 107-115 - Alexander Graß, Christian Beecks, José Angel Carvajal Soto:
Unsupervised Anomaly Detection in Production Lines. ML4CPS 2018: 18-25 - Gerd Gröner:
A Random Forest Based Classifier for Error Prediction of Highly Individualized Products. ML4CPS 2018: 26-35 - Markus Koester:
Making Industrial Analytics work for Factory Automation Applications. ML4CPS 2018: 116-122 - Klaudia Kovacs, Fazel Ansari, Claudio Geisert, Eckart Uhlmann, Robert Glawar, Wilfried Sihn:
A Process Model for Enhancing Digital Assistance in Knowledge-Based Maintenance. ML4CPS 2018: 87-96 - Jonathan Krauß, Maik Frye, Gustavo Teodoro Döhler Beck, Robert H. Schmitt:
Selection and Application of Machine Learning- Algorithms in Production Quality. ML4CPS 2018: 46-57 - Christian Kühnert, Christian Frey, Ruben Seyboldt:
Detection of Directed Connectivities in Dynamic Systems for Different Excitation Signals using Spectral Granger Causality. ML4CPS 2018: 97-106 - Andreas Kuhnle, Gisela Lanza:
Application of Reinforcement Learning in Production Planning and Control of Cyber Physical Production Systems. ML4CPS 2018: 123-132 - Oliver Rettig, Silvan Müller, Marcus Strand, Darko Katic:
Which deep artifical neural network architecture to use for anomaly detection in Mobile Robots kinematic data? ML4CPS 2018: 58-65 - Johannes Sailer, Christian Frey, Christian Kühnert:
GPU GEMM-Kernel Autotuning for scalable machine learners. ML4CPS 2018: 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. ML4CPS 2018: 77-86 - 2017
- Fazel Ansari, Robert Glawar, Wilfried Sihn:
Prescriptive Maintenance of CPPS by Integrating Multimodal Data with Dynamic Bayesian Networks. ML4CPS 2017: 1-8 - Andreas Bunte, Peng Li, Oliver Niggemann:
Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems. ML4CPS 2017: 43-51 - Marta Fullen, Peter Schüller, Oliver Niggemann:
Semi-supervised Case-based Reasoning Approach to Alarm Flood Analysis. ML4CPS 2017: 53-61 - Carlos Paiz Gatica, Marco Platzner:
Adaptable Realization of Industrial Analytics Functions on Edge-Devices using Reconfigurable Architectures. ML4CPS 2017: 73-80 - Katharina Giese, Jens Eickmeyer, Oliver Niggemann:
Differential Evolution in Production Process Optimization of Cyber Physical Systems. ML4CPS 2017: 17-23 - Martin Lachmann, Tilman Stark, Martin Golz, Eberhard Manske:
Evaluation of Deep Autoencoders for Prediction of Adjustment Points in the Mass Production of Sensors. ML4CPS 2017: 9-16 - Thomas Lewien, Ivan Slimak, Pyare Püschel:
The Acoustic Test System for Transmissions in the VW Group. ML4CPS 2017: 81-87 - Felix Reinhart, Sebastian von Enzberg, Arno Kühn, Roman Dumitrescu:
Machine Learning for Process-X: A Taxonomy. ML4CPS 2017: 25-33 - Ljiljana Stojanovic:
Intelligent edge processing. ML4CPS 2017: 35-42 - Heinrich Warkentin, Meike Wocken, Alexander Maier:
Verstehen von Maschinenverhalten mit Hilfe von Machine Learning. ML4CPS 2017: 63-71 - Jürgen Beyerer, Oliver Niggemann, Christian Kühnert:
Machine Learning for Cyber Physical Systems, Selected papers from the International Conference ML4CPS 2016, Karlsruhe, Germany, September 29, 2016. Springer 2017, ISBN 978-3-662-53805-0 [contents] - 2016
- Idel Montalvo Arango, Joaquín Izquierdo Sebastián:
Agent Swarm Optimization: Exploding the search space. ML4CPS 2016: 55-64 - Thomas Bernard, Marc Baruthio, Claude Steinmetz, Jean-Marc Weber:
Cloud-based event detection platform for water distribution networks using machine-learning algorithms. ML4CPS 2016: 35-43
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