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Machine Learning for Cyber Physical Systems : Selected papers from the International Conference ML4CPS 2018 / / edited by Jürgen Beyerer, Christian Kühnert, Oliver Niggemann
| Machine Learning for Cyber Physical Systems : Selected papers from the International Conference ML4CPS 2018 / / edited by Jürgen Beyerer, Christian Kühnert, Oliver Niggemann |
| Autore | Beyerer Jürgen |
| Edizione | [First edition, 2019.] |
| Pubbl/distr/stampa | 2018 |
| Descrizione fisica | 1 online resource (VII, 136 pages) |
| Disciplina | 006.3 |
| Collana | Technologien für die intelligente Automation, Technologies for Intelligent Automation |
| Soggetto topico |
Computational intelligence
Computer engineering Computer networks Telecommunication Data mining Computational Intelligence Computer Engineering and Networks Communications Engineering, Networks Data Mining and Knowledge Discovery |
| ISBN |
9783662584859
3662584859 |
| Classificazione | COM021030COM043000TEC009000TEC041000 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine Learning for Enhanced Waste Quantity Reduction: Insights from the MONSOON Industry 4.0 Project -- Deduction of time-dependent machine tool characteristics by fuzzy-clustering -- Unsupervised Anomaly Detection in Production Lines -- A Random Forest Based Classifer for Error Prediction of Highly Individualized Products -- Web-based Machine Learning Platform for Condition-Monitoring -- Selection and Application of Machine Learning-Algorithms in Production Quality -- Which deep artifificial neural network architecture to use for anomaly detection in Mobile Robots kinematic data -- GPU GEMM-Kernel Autotuning for scalable machine learners -- Process Control in a Press Hardening Production Line with Numerous Process Variables and Quality Criteria -- A Process Model for Enhancing Digital Assistance in Knowledge-Based Maintenance -- Detection of Directed Connectivities in Dynamic Systems for Different Excitation Signals using Spectral Granger Causality -- Enabling Self-Diagnosis of AutomationDevices through Industrial Analytics -- Making Industrial Analytics work for Factory Automation Applications -- Application of Reinforcement Learning in Production Planning and Control of Cyber Physical Production Systems -- LoRaWan for Smarter Management of Water Network: From metering to data analysis. |
| Record Nr. | UNINA-9910372753003321 |
Beyerer Jürgen
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| 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning for Cyber Physical Systems : Selected papers from the International Conference ML4CPS 2016 / / edited by Jürgen Beyerer, Oliver Niggemann, Christian Kühnert
| Machine Learning for Cyber Physical Systems : Selected papers from the International Conference ML4CPS 2016 / / edited by Jürgen Beyerer, Oliver Niggemann, Christian Kühnert |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2017 |
| Descrizione fisica | 1 online resource (VII, 72 p. 24 illus., 19 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Technologien für die intelligente Automation, Technologies for Intelligent Automation |
| Soggetto topico |
Computational intelligence
Data mining Knowledge management Computational Intelligence Data Mining and Knowledge Discovery Knowledge Management |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Concept for the Application of Reinforcement Learning in the Optimization of CAM-Generated Tool Paths -- Semantic Stream Processing in Dynamic Environments Using Dynamic Stream Selection -- Dynamic Bayesian Network-Based Anomaly Detection for In-Process Visual Inspection of Laser Surface Heat Treatment -- A Modular Architecture for Smart Data Analysis using AutomationML, OPC-UA and Data-driven Algorithms -- Cloud-based event detection platform for water distribution networks using machine-learning algorithms -- A Generic Data Fusion and Analysis Platform for Cyber-Physical Systems -- Agent Swarm Optimization: Exploding the search space -- Anomaly Detection in Industrial Networks using Machine Learning. . |
| Record Nr. | UNINA-9910155297303321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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