Maturity Model for Analysis of Machine Learning Operations in Industry
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-27915-7_57
Reference16 articles.
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2. El Naqa, I., Li, R., Murphy, M.J. (eds.): Machine Learning in Radiation Oncology. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-18305-3
3. Frank, A.G., Dalenogare, L.S., Ayala, N.F.: Industry 4.0 technologies: Implementation patterns in manufacturing companies. Int. J. Prod. Econ. 210, 15–26 (2019). https://doi.org/10.1016/j.ijpe.2019.01.004
4. Ongsulee, P.: Artificial intelligence, machine learning and deep learning. In: Fifteenth International Conference on ICT and Knowledge Engineering, pp. 1–6 (2017). https://doi.org/10.1109/ICTKE.2017.8259629
5. Psarommatis, F., Prouvost, S., May, G., Kiritsis, D.: Product quality improvement policies in industry 4.0: characteristics, enabling factors, barriers, and evolution toward zero defect manufacturing. Front. Comput. Sci. 2, 1–15 (2020). https://doi.org/10.3389/fcomp.2020.00026
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