Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2015 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Niggemann, Oliver (Επιμελητής έκδοσης), Beyerer, Jürgen (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer Vieweg, 2016.
• Έκδοση: 1st ed. 2016.
• Σειρά: Technologien für die intelligente Automation, Technologies for Intelligent Automation
• Θέματα: Engineering.; Knowledge management.; Data mining.; Computational intelligence.; Computational Intelligence.; Data Mining and Knowledge Discovery.; Knowledge Management.

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...

Πίνακας περιεχομένων:

• 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.