Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2020
Material type:
ArticleSeries: Publication details: Springer Nature Springer Vieweg [Imprint] 2021Description: 1 electronic resource (130 p.)Content type: - text
- computer
- online resource
- Technology, Engineering, Agriculture, Industrial processes
- Energy technology and engineering
- Electrical engineering
- Electronics and communications engineering
- Communications engineering / telecommunications
- Computing and Information Technology
- Computer networking and communications
- Artificial Intelligence
- Cognitive Robotics
- Communications Engineering
- Communications engineering
- Computational intelligence
- Computer Engineering and Networks
- Computer Systems Organization and Communication Networks
- Computer networking & communications
- Computer-based algorithms
- Cyber-Physical Systems
- Cyber-physical systems
- Cybernetics & systems theory
- Electrical engineering
- Industry 4.0
- Internet of Things
- IoT
- Machine Learning
- Networks
- Open Access
- Smart grid
- telecommunications
Open Access Unrestricted online access star
This open access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.
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eng
Freely available e-book