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Nelles, Mathematics 9 (2021)."},"status":"public","intvolume":"         9","doi":"10.3390/math9192479","publisher":"MDPI AG","date_updated":"2026-03-17T15:28:49Z","year":"2021","_id":"3717","language":[{"iso":"eng"}],"article_number":"2479","title":"Incremental DoE and Modeling Methodology with Gaussian Process Regression: An Industrially Applicable Approach to Incorporate Expert Knowledge","date_created":"2023-11-14T10:52:17Z","volume":9,"type":"journal_article","publication_identifier":{"eissn":["2227-7390"]},"oa":"1","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png"},"user_id":"220548","main_file_link":[{"url":"https://www.mdpi.com/2227-7390/9/19/2479","open_access":"1"}],"alternative_id":["1477"],"publication_status":"published","publication":"Mathematics","issue":"19","keyword":["Gaussian process regression","design of experiments","static process models","industrial processes","stepwise experimental design"]}]