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    المصدر: 2023 International Conference on Machine Learning and Applications (ICMLA), IEEE, 2023, pp. 878-883

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    المؤلفون: Haensel, Maria (ORCID 0000-0003-4530-8968), Schmitt, Thomas M. (ORCID 0000-0002-7287-6648), Bogenreuther, Jakob (ORCID 0000-0002-8630-1554)

    المصدر: Journal of Science Education and Technology. Apr 2023 32(2):256-266.

    Peer Reviewed: Y

    Page Count: 11

    مصطلحات جغرافية: Germany

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    المساهمون: Department of Electrical Engineering and Automation, Information Technologies in Industrial Automation, Uppsala University, Norwegian University of Science and Technology, Aalto-yliopisto, Aalto University

    وصف الملف: application/pdf

    Relation: Procedia CIRP; Volume 122, pp. 623-628; Schmitt, T, Bejarano Rodriguez, R & Assuad, C 2024, ' Challenges and opportunities of automated data pipelines for environmental sustainability applications in industrial manufacturing ', Procedia CIRP, vol. 122, pp. 623-628 . https://doi.org/10.1016/j.procir.2024.01.089; PURE UUID: 4517b453-e469-48eb-8a39-649b7d2ead43; PURE ITEMURL: https://research.aalto.fi/en/publications/4517b453-e469-48eb-8a39-649b7d2ead43; PURE LINK: http://www.scopus.com/inward/record.url?scp=85193477974&partnerID=8YFLogxK; PURE FILEURL: https://research.aalto.fi/files/146945457/1-s2.0-S2212827124001161-main.pdf; https://aaltodoc.aalto.fi/handle/123456789/128340; URN:NBN:fi:aalto-202405293942

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