Machine learning for cyber physical systems

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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.

Ketersediaan — Fakultas Sains dan Matematika

Perpustakaan FSM Undip 006.31 MAN m

27PUSDIG2023

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Informasi Detail

Judul Seri: -
No. Panggil: 006.31 MAN m
Penerbit: Berlin, Germany : Springer Vieweg., 2019
Deskripsi Fisik: VII, 136 p.
Bahasa: English
ISBN/ISSN: 9783662584859
Klasifikasi: 006.31
Tipe Isi: -
Tipe Media: -
Tipe Pembawa: -
Edisi: -
Subjek: Machine learning
Cooperating objects (Computer systems)
Info Detail Spesifik: -
Pernyataan Tanggungjawab: -

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978-3-662-58485-9
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