Author:
Zouhri Wahb,Rostami Hamideh,Homri Lazhar,Dantan Jean-Yves
Publisher
Springer International Publishing
Reference31 articles.
1. Alcácer, V., Cruz-Machado, V.: Scanning the Industry 4.0: a literature review on technologies for manufacturing systems. Eng. Sci. Technol. Int. J. 22(3), 899‑919 (2019). https://doi.org/10.1016/j.jestch.2019.01.006
2. Rostami, H., Dantan, J.-Y., Homri, L.: Review of data mining applications for quality assessment in manufacturing industry: support vector machines. Int. J. Metrol. Qual. Eng. 6(4), 401 (2015). https://doi.org/10.1051/ijmqe/2015023
3. Köksal, G., Batmaz, İ., Testik, M.C.: A review of data mining applications for quality improvement in manufacturing industry. Expert. Syst. Appl. 38(10), 13448–13467 (2011). https://doi.org/10.1016/j.eswa.2011.04.063
4. Attar, M.E., Hamery, X.: Industrial expert system acquired by machine learning. Appl. Artif. Intell. 8(4), 497–542 (1994). https://doi.org/10.1051/ijmqe/201502310.1080/08839519408945457
5. Siltepavet, A., Sinthupinyo, S., Chongstitvatana, P.: Improving quality of products in hard drive manufacturing by decision tree technique. J. Comput. Sci. Issues 9(3), 7 (2012)
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献