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ORCIDML4CPS 2015: Lemgo, Germany
- Oliver Niggemann, Jürgen Beyerer:
Machine Learning for Cyber Physical Systems, Selected papers from the International Conference ML4CPS 2015, Lemgo, Germany, October 1-2, 2015. Springer 2016, ISBN 978-3-662-48836-2 - Javier Díaz, Concha Bielza, Jose L. Ocaña, Pedro Larrañaga:
Development of a Cyber-Physical System based on selective Gaussian naïve Bayes model for a self-predict laser surface heat treatment process control. 1-8 - Timo Korthals
, Thilo Krause, Ulrich Rückert:
Evidence Grid Based Information Fusion for Semantic Classifiers in Dynamic Sensor Networks. 9-14 - Christoph Ide, Michael Nick, Dennis Kaulbars, Christian Wietfeld:
Forecasting Cellular Connectivity for Cyber-Physical Systems: A Machine Learning Approach. 15-22 - Christian Brecher, Markus Obdenbusch, Werner Herfs:
Towards Optimized Machine Operations by Cloud Integrated Condition Estimation. 23-31 - Adrian Cubillo, Suresh Perinpanayagam, Marcos Rodriguez, Ignacio Collantes, Jeroen Vermeulen:
Prognostics Health Management System based on Hybrid Model to Predict Failures of a Planetary Gear Transmission. 33-44 - Stefan Windmann, Jens Eickmeyer, Florian Jungbluth, Johann Badinger, Oliver Niggemann:
Evaluation of Model-Based Condition Monitoring Systems in Industrial Application Cases. 45-50 - Yongheng Wang, Michael Weyrich:
Towards a novel learning assistant for networked automation systems. 51-57 - Kristijan Vukovic, Kristina Simonis, Helene Dörksen, Volker Lohweg:
Efficient Image Processing System for an Industrial Machine Learning Task. 59-66 - Tobias Helbig, Steffen Henning, Johannes Hoos:
Efficient engineering in special purpose machinery through automated control code synthesis based on a functional categorisation. 67-74 - Alexander Diedrich, Andreas Bunte, Alexander Maier, Oliver Niggemann:
Kognitive Architektur zum Konzeptlernen in technischen Systemen. 75-85 - André Mueß, Jens Weber, Raphael-Elias Reisch, Benjamin Jurke:
Implementation and Comparison of Cluster-Based PSO Extensions in Hybrid Settings with Efficient Approximation. 87-93 - Christian Walther, Frank Beneke, Luise Merbach, Hubertus Siebald, Oliver Hensel, Jochen Huster:
Machine-specific Approach for Automatic Classification of Cutting Process Efficiency. 95-102 - Fazel Ansari, Madjid Fathi:
Meta-analysis of Maintenance Knowledge Assets Towards Predictive Cost Controlling of Cyber Physical Production Systems. 103-110 - Adrian Böckenkamp, Frank Weichert, Jonas Stenzel, Dennis Lünsch:
Towards Autonomously Navigating and Cooperating Vehicles in Cyber-Physical Production Systems. 111-121
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