Author:
Devi M. Shyamala,Aruna R.,Kumar S. Vinoth,Chowdary G. Vamsi,Raju B. V. S. S. Kanaka,Prasad M. Siva
Reference10 articles.
1. Jamal El-Khatib, M., Abu-Nasser, B.S., Abu-Naser, S.S.: Glass classification using artificial neural network. Int. J. Acad. Pedagogical Res. (IJAPR) 3(2), 25–31 (2019). ISSN: 2000–004X
2. Bhutta, M.U.M., Aslam, S., Yun, P., Jiao, J., Liu, M.: Smart-inspect: micro scale localization and classification of smartphone glass defects for industrial automation. In: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , Las Vegas, NV, USA (Virtual), 25–29 October 2020 (2020)
3. Mathur, H., Surana, A.: Glass classification based on machine learning algorithms. Int. J. Innov. Technol. Explor. Eng. 9(11) (2020). ISSN: 2278–3075
4. Deng, B.: Machine learning on density and elastic property of oxide glasses driven by large dataset. J. Non-Crystall. Solids 529, 119768 (2020)
5. Bishnoi, S., Sourabh Singh, R., Ravinder, M., Gosvami, N., Hariprasad Kodamana, N.M., Krishnan, A.: Predicting Young’s modulus of oxide glasses with sparse datasets using machine learning. J. Non-Crystall. Solids 524, 119643 (2019)
Cited by
1 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