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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 |
| Edizione | [First edition, 2019.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2019 |
| 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 | 3-662-58485-9 |
| 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 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2019 | ||
| 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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Machine Learning for Cyber-Physical Systems : Selected papers from the International Conference ML4CPS 2023 / / edited by Oliver Niggemann, Jürgen Beyerer, Maria Krantz, Christian Kühnert
| Machine Learning for Cyber-Physical Systems : Selected papers from the International Conference ML4CPS 2023 / / edited by Oliver Niggemann, Jürgen Beyerer, Maria Krantz, Christian Kühnert |
| Autore | Niggemann Oliver |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (130 pages) |
| Disciplina | 621.38 |
| Altri autori (Persone) |
BeyererJürgen
KrantzMaria KühnertChristian |
| Collana | Technologien für die intelligente Automation, Technologies for Intelligent Automation |
| Soggetto topico |
Cooperating objects (Computer systems)
Computer engineering Computer networks Artificial intelligence Neural networks (Computer science) Cyber-Physical Systems Computer Engineering and Networks Artificial Intelligence Mathematical Models of Cognitive Processes and Neural Networks |
| ISBN | 3-031-47062-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Causal Structure Learning using PCMCI+ and Path Constraints from Wavelet-based Soft Interventions -- Reinforcement Learning from Human Feedback for Cyber-Physical Systems: On the Potential of Self-Supervised Pretraining -- Using ML-based Models in Simulation of CPPSs: A Case Study of Smart Meter Production -- Deploying machine learning in high pressure resin transfer molding and part post processing: a case study -- Development of a Robotic Bin Picking Approach based on Reinforcement Learning -- Control Reconfiguration of CPS via Online Identification using Sparse Regression (SINDYc) -- Using Forest Structures for Passive Automata Learning -- Domain Knowledge Injection Guidance for Predictive Maintenance -- Towards a systematic approach for Prescriptive Analytics use cases in smart factories -- Development of a standardized data acquisition prototype for heterogeneous sensor environments as a basis for ML applications in pultrusion -- A Digital Twin Design for conveyor belts predictive maintenance -- Augmenting explainable data-driven models in energy systems: A Python framework for feature engineering. |
| Record Nr. | UNINA-9910866569003321 |
Niggemann Oliver
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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