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Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2015 /
The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS - Machine Learning for Cyber Physical Systems, which was held in Lemgo, October 1-2, 2015. Cyber Physical Systems are ch...
| Clasificación: | Libro Electrónico |
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| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer Vieweg,
2016.
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| Edición: | 1st ed. 2016. |
| Colección: | Technologien für die intelligente Automation, Technologies for Intelligent Automation,
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| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Development of a Cyber-Physical System based on selective dynamic Gaussian naive Bayes model for a self-predict laser surface heat treatment process control
- Evidence Grid Based Information Fusion for Semantic Classifiers in Dynamic Sensor Networks
- Forecasting Cellular Connectivity for Cyber- Physical Systems: A Machine Learning Approach
- Towards Optimized Machine Operations by Cloud Integrated Condition Estimation
- Prognostics Health Management System based on Hybrid Model to Predict Failures of a Planetary Gear Transmission
- Evaluation of Model-Based Condition Monitoring Systems in Industrial Application Cases
- Towards a novel learning assistant for networked automation systems
- Effcient Image Processing System for an Industrial Machine Learning Task
- Efficient engineering in special purpose machinery through automated control code synthesis based on a functional categorisation
- Geo-Distributed Analytics for the Internet of Things
- Imple mentation and Comparison of Cluster-Based PSO Extensions in Hybrid Settings with Efficient Approximation
- Machine-specifc Approach for Automatic Classifcation of Cutting Process Efficiency
- Meta-analysis of Maintenance Knowledge Assets Towards Predictive Cost Controlling of Cyber Physical Production Systems
- Towards Autonomously Navigating and Cooperating Vehicles in Cyber-Physical Production Systems.