Machine Learning for Cyber Physical Systems - Selected papers from the International Conference ML4CPS 2020 (Paperback, 1st ed. 2021)

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.

General

Imprint:	Springer Vieweg
Country of origin:	Germany
Series:	Technologien fur die intelligente Automation, 13
Release date:	December 2020
First published:	2021
Editors:	Jurgen Beyerer • Alexander Maier • Oliver Niggemann
Dimensions:	240 x 168mm (L x W)
Format:	Paperback
Pages:	130
Edition:	1st ed. 2021
ISBN-13:	978-3-662-62745-7
Categories:	Books > Computing & IT > Computer communications & networking > General Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
LSN:	3-662-62745-0
Barcode:	9783662627457

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