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Machine learning for cyber physical systems

Beyerer, Jürgen - Nama Orang
Kühnert, Christian - Nama Orang
Niggemann, Oliver - Nama Orang

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 Karlsruhe, October 23-24, 2018.

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.

Additional Information
Penerbit
Berlin, Germany : Springer Vieweg
GMD ( General Material Designation )
Electronic Resource
No. Panggil
006.31
MAN
m
006.31 MAN m
ISBN/ISSN9783662584859
Klasifikasi
006.31
Deskripsi Fisik
VII, 136 p.
Bahasa
English
Edisi
-
Subjek
Internet
Machine learning
Computer security
Humans
Pernyataan Tanggungjawab
Info Detail Spesifik
-
GMD
Electronic Resource
Tipe Isi
text
Tipe Media
computer
Tipe Pembawa
online resource

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