Author:
Zangara Gabriele,Gagliardi Francesco,Filice Luigino,Ambrogio Giuseppina
Publisher
Springer Nature Switzerland
Reference8 articles.
1. Sharma, A., Zhang, Z., Rai, R.: The interpretive model of manufacturing: a theoretical framework and research agenda for machine learning in manufacturing. Int. J. Prod. Res. 59(16), 4960–4994 (2021)
2. Davis, J., Edgar, T., Graybill, R., et al.: Smart Manufacturing. Annu. Rev. Chem. Biomol. Eng. 6, 141–160 (2015)
3. Rai, R., Tiwari, M.K., Ivanov, D., Dolgui, A.: Machine learning in manufacturing and industry 4.0 applications. Int. J. Prod. Res. 59(16), 4773–4778 (2021)
4. Wuest, T., Weimer, D., Irgens, C., Thoben, K.D.: Machine learning in manufacturing: Advantages, challenges, and applications. Prod. Manuf. Res. 4(1), 23–45 (2016)
5. Kuhn, M.: Building predictive models in R using the caret package. J. Stat. Softw. 28(5), 1–26 (2008)