Machine Learning for Cyber-Physical Systems Selected papers from the International Conference ML4CPS 2023
This open access proceedings 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 Hamburg (Germany), March 29th to 3...
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| Otros Autores: | , , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer Nature Switzerland
2024.
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| Edición: | 1st ed. 2024. |
| Colección: | Technologien für die intelligente Automation, Technologies for Intelligent Automation,
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009841234506719 |
Tabla de Contenidos:
- 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.
