{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T20:06:23Z","timestamp":1771358783881,"version":"3.50.1"},"reference-count":0,"publisher":"SCITEPRESS - Science and Technology Publications","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.5220\/0012717400003758","type":"proceedings-article","created":{"date-parts":[[2024,7,14]],"date-time":"2024-07-14T15:55:37Z","timestamp":1720972537000},"page":"37-46","source":"Crossref","is-referenced-by-count":2,"title":["A Scalable Synthetic Data Creation Pipeline for AI-Based Automated Optical Quality Control"],"prefix":"10.5220","author":[{"given":"Christian","family":"Schorr","sequence":"first","affiliation":[{"name":"German Research Centre Artificial Intelligence, Saarland Informatics Campus D 3 2, 66123 Saarbr\u00fccken, Germany, --- Select a Country ---"},{"name":"University of Applied Sciences Kaiserslautern, Amerikastra\u00dfe 1, 66482 Zweibr\u00fccken, Germany, --- Select a Country ---"}]},{"given":"Sebastian","family":"Hocke","sequence":"additional","affiliation":[{"name":"German Research Centre Artificial Intelligence, Saarland Informatics Campus D 3 2, 66123 Saarbr\u00fccken, Germany, --- Select a Country ---"}]},{"given":"Tobias","family":"Masiak","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Lab, ZF Friedrichshafen AG, Scheer Tower II, Uni-Campus Nord, D5 2, 66123 Saarbr\u00fccken, Germany, --- Select a Country ---"}]},{"given":"Patrick","family":"Trampert","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Lab, ZF Friedrichshafen AG, Scheer Tower II, Uni-Campus Nord, D5 2, 66123 Saarbr\u00fccken, Germany, --- Select a Country ---"}]}],"member":"3171","event":{"name":"14th International Conference on Simulation and Modeling Methodologies, Technologies and Applications","location":"Dijon, France","start":{"date-parts":[[2024,7,10]]},"end":{"date-parts":[[2024,7,12]]}},"container-title":["Proceedings of the 14th International Conference on Simulation and Modeling Methodologies, Technologies and Applications"],"original-title":["A Scalable Synthetic Data Creation Pipeline for AI-Based Automated Optical Quality Control"],"deposited":{"date-parts":[[2024,8,5]],"date-time":"2024-08-05T12:18:49Z","timestamp":1722860329000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.scitepress.org\/DigitalLibrary\/Link.aspx?doi=10.5220\/0012717400003758"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":0,"URL":"https:\/\/doi.org\/10.5220\/0012717400003758","relation":{},"subject":[],"published":{"date-parts":[[2024]]}}}