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@ARTICLE{Zhou:1009972,
author = {Zhou, Hans Aoyang and Wolfschläger, Dominik and Florides,
Constantinos and Werheid, Jonas Maximilian and Behnen,
Hannes and Woltersmann, Jan-Henrik and Pinto, Tiago C. and
Kemmerling, Marco and Abdelrazeq, Anas and Schmitt, Robert
H.},
title = {{G}enerative {AI} in industrial machine vision: a review},
journal = {Journal of intelligent manufacturing},
issn = {1572-8145},
address = {Dordrecht [u.a.]},
publisher = {Springer Science + Business Media B.V},
reportid = {RWTH-2025-03762},
year = {2025},
note = {Published: 11 April 2025},
cin = {417510 / 417200 / 053200},
ddc = {620},
cid = {$I:(DE-82)417510_20140620$ / $I:(DE-82)417200_20140620$ /
$I:(DE-82)053200_20140620$},
pnm = {WS-A.III - Functional Perspective (X080067-WS-A.III) /
WestAI - AI Service Center West (01IS22094B) / DFG project
G:(GEPRIS)390621612 - EXC 2023: Internet of Production (IoP)
(390621612) / OAPKF - Open-Access-Publikation mit
Unterstützung der RWTH Aachen University (021000-OAPKF) /
DFG project G:(GEPRIS)507911127 - Metrologisch
interpretierbare maschinen-gelernte Merkmale durch latente
Merkmalsräume von generativen Deep Learning Modellen
(507911127) / BMBF 01IS22094D - Verbundprojekt: WestAI - AI
Service Center West (01IS22094D)},
pid = {G:(DE-82)X080067-WS-A.III / G:(BMBF)01IS22094B /
G:(GEPRIS)390621612 / G:(DE-82)021000-OAPKF /
G:(GEPRIS)507911127 / G:(BMBF)01IS22094D},
typ = {PUB:(DE-HGF)16},
UT = {WOS:001464414900001},
doi = {10.1007/s10845-025-02604-6},
url = {https://publications.rwth-aachen.de/record/1009972},
}
Gast ::