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Objectifying Machine Setup and Parameter Selection in Expert Knowledge Dependent Industries Using Invertible Neural Networks

; ; ;

In
Flexible automation and intelligent manufacturing: the human-data-technology nexus : proceedings of FAIM 2022, June 19–23, 2022, Detroit, Michigan, USA / Kyoung-Yun Kim, Leslie Monplaisir, Jeremy Rickli editors. - Volume 1, Seiten/Artikel-Nr: 293-300

Konferenz/Event:31. International Conference on Flexible Automation and Intelligent Manufacturing , Detroit , USA , FAIM 2022 , 2022-06-19 - 2022-06-23

ImpressumCham, Switzerland : Springer

Umfang293-300

ISBN978-3-031-18325-6, 978-3-031-18326-3, 978-3-031-18327-0

ReiheLecture Notes in Mechanical Engineering

First Online: 13 October 2022

Online
DOI: 10.18154/RWTH-2022-10113
DOI: 10.1007/978-3-031-18326-3_29

URL: https://publications.rwth-aachen.de/record/855252/files/855252.pdf

Projekte

  1. WS-B3.II - Short-term Production Management (X080067-WS-B3.II) (X080067-WS-B3.II)
  2. WS-A.III - Functional Perspective (X080067-WS-A.III) (X080067-WS-A.III)
  3. DFG project 390621612 - EXC 2023: Internet of Production (IoP) (390621612) (390621612)

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Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85141859768

Interne Identnummern
RWTH-2022-10113
Datensatz-ID: 855252

Beteiligte Länder
Germany

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Creative Commons Attribution CC BY 4.0 ; OpenAccess

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 Record created 2022-11-03, last modified 2025-01-15


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