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Editorial: Contributions to AI and machine learning for manufacturing
University of Southern California, USA.ORCID iD: 0000-0001-7826-4792
Virginia Tech, USA.ORCID iD: 0000-0002-8827-502X
Politecnico di Milano, Italy.ORCID iD: 0000-0001-6844-2030
KTH, School of Industrial Engineering and Management (ITM), Production engineering, Industrial Production Systems.ORCID iD: 0000-0001-8679-8049
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2024 (English)In: Iise Transactions, ISSN 2472-5854, Vol. 56, no 9, p. 915-916Article in journal, Editorial material (Other academic) Published
Place, publisher, year, edition, pages
Informa UK Limited , 2024. Vol. 56, no 9, p. 915-916
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Production Engineering, Human Work Science and Ergonomics
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URN: urn:nbn:se:kth:diva-367420DOI: 10.1080/24725854.2024.2344204ISI: 001226572400001Scopus ID: 2-s2.0-85191789541OAI: oai:DiVA.org:kth-367420DiVA, id: diva2:1984759
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QC 20250717

Available from: 2025-07-17 Created: 2025-07-17 Last updated: 2025-07-17Bibliographically approved

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Wang, Lihui

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Huang, QiangKong, Zhenyu JamesColosimo, Bianca MariaWang, Lihui
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