Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2020

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 P...

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Médium: E-kniha
Jazyk:English
Vydavateľské údaje: Springer Nature 2021
Edícia:Technologien für die intelligente Automation
Predmet:
Artificial Intelligence
Cognitive Robotics
Communications Engineering
Communications engineering / telecommunications
Computational intelligence
Computer Engineering and Networks
Computer networking & communications
Computer networking and communications
Computer Systems Organization and Communication Networks
Computer-based algorithms
Computing and Information Technology
Cyber-physical systems
Cybernetics & systems theory
Electrical engineering
Electronics and communications engineering
Energy technology and engineering
Industry 4.0
Internet of Things
IoT
Machine Learning
Networks
Open Access
Smart grid
Technology, Engineering, Agriculture, Industrial processes
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Popis
Shrnutí: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.
DOI:10.1007/978-3-662-62746-4