ML4CPS

Keyphrases

Publications

2020

Machine Learning for Cyber Physical Systems, Selected papers from the International Conference ML4CPS 2017, Lemgo, Germany, September 25-26, 2017. ML4CPS (2020)

2019

Machine Learning for Cyber Physical Systems, Selected papers from the International Conference ML4CPS 2018, Karlsruhe, Germany, October 23-24, 2018. ML4CPS (2019)

2018

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)
Christian Beecks, Shreekantha Devasya, Ruben Schlutter
Machine Learning for Enhanced Waste Quantity Reduction: Insights from the MONSOON Industry 4.0 Project. ML4CPS (2018)
Carlos Paiz Gatica, Alexander Boschmann
Enabling Self-Diagnosis of Automation Devices through Industrial Analytics. ML4CPS (2018)
Uwe Frieß, Martin Kolouch, Matthias Putz
Deduction of time-dependent machine tool characteristics by fuzzy-clustering. ML4CPS (2018)
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)
Jorge Francés-Chust, Joaquín Izquierdo, Idel Montalvo
LoRaWan for Smarter Management of Water Network: From metering to data analysis. ML4CPS (2018)
Gerd Gröner
A Random Forest Based Classifier for Error Prediction of Highly Individualized Products. ML4CPS (2018)
Andreas Kuhnle, Gisela Lanza
Application of Reinforcement Learning in Production Planning and Control of Cyber Physical Production Systems. ML4CPS (2018)
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)
Thomas Bernard, Christian Kühnert, Enrique Campbell
Web-based Machine Learning Platform for Condition- Monitoring. ML4CPS (2018)
Markus Koester
Making Industrial Analytics work for Factory Automation Applications. ML4CPS (2018)
Alexander Graß, Christian Beecks, José Angel Carvajal Soto
Unsupervised Anomaly Detection in Production Lines. ML4CPS (2018)
Christian Kühnert, Christian Frey, Ruben Seyboldt
Detection of Directed Connectivities in Dynamic Systems for Different Excitation Signals using Spectral Granger Causality. ML4CPS (2018)
Johannes Sailer, Christian Frey, Christian Kühnert
GPU GEMM-Kernel Autotuning for scalable machine learners. ML4CPS (2018)
Jonathan Krauß, Maik Frye, Gustavo Teodoro Döhler Beck, Robert H. Schmitt
Selection and Application of Machine Learning- Algorithms in Production Quality. ML4CPS (2018)

2017

2016

2015