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Machine Learning for Cyber-Physical Systems

Machine Learning for Cyber-Physical Systems Selected Papers from the International Conference ML4CPS 2023 - Technologien Für Die Intelligente Automation

2024th edition

Paperback (21 Jun 2024)

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Publisher's Synopsis

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 31st, 2023. 

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.

This is an open access book.

Book information

ISBN: 9783031470615
Publisher: Springer Nature Switzerland
Imprint: Springer
Pub date:
Edition: 2024th edition
Language: English
Number of pages: 129
Weight: 295g
Height: 240mm
Width: 168mm
Spine width: 8mm