Artificial Intelligence Based Quality Control in 3D Bio-printing
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3048-3_14
Reference46 articles.
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3. Alimian M, Ghezavati V, Reza T-M (2020) New integration of preventive maintenance and production planning with cell formation and group scheduling for dynamic cellular manufacturing systems. J Manuf Syst. https://doi.org/10.1016/j.jmsy.2020.06.011
4. An J, Chua C, Mironov V (2021) Application of machine learning in 3D bioprinting: focus on development of big data and digital twin. Int J Bioprinting 7:342. https://www.researchgate.net/publication/348906140_Application_of_Machine_Learning_in_3D_Bioprinting_Focus_on_Development_of_Big_Data_and_Digital_Twin
5. Asadi-Eydivand M, Solati-Hashjin M, Fathi A, Padashi M, Osman NAA (2016) Optimal design of a 3D-printed scaffold using intelligent evolutionary algorithms. Appl Soft Comput 36–47. https://doi.org/10.1016/j.asoc.2015.11.011
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