Open Access
| Issue |
E3S Web Conf.
Volume 261, 2021
2021 7th International Conference on Energy Materials and Environment Engineering (ICEMEE 2021)
|
|
|---|---|---|
| Article Number | 01021 | |
| Number of page(s) | 5 | |
| Section | Energy Development and Energy Storage Technology Research and Development | |
| DOI | https://doi.org/10.1051/e3sconf/202126101021 | |
| Published online | 21 May 2021 | |
- Liang, Y.H., Fan, L.Z. (2020) Mechanical failures in solid-state lithium batteries and their solutions. Acta Physica Sinica, 69(22): 17-32. [Google Scholar]
- Han, X.X., Geng, S.Y., Li, H.Y. (2019) Summary of Defect Detection Application Based on Machine Vision. Electric Engineering, 14: 117-118+132. [Google Scholar]
- Xiao, Y.J., Qi. H., Zhou, W. (2019) Detection and Identification of Roll Surface Defects in Lithium Battery Pole Piece Rolling Mill. Journal of Electronic Measurement and Instrumentation, 10: 148-156. [Google Scholar]
- Oztemel, E., Gursev, S. (2020) Literature review of Industry 4.0 and related technologies. Journal of Intelligent Manufacturing, 31: 127-182. [CrossRef] [Google Scholar]
- Bulnes, F.G., Usamentiaga, R., Garcia D.F., et al. (2016) An efficient method for defect detection during the manufacturing of web materials. Journal of Intelligent Manufacturing, 27(2): 431-445. [Google Scholar]
- Masci, J., Meier, U., Ciresan, D. (2012) Steel defect classification with Max-Pooling Convolutional Neural Networks. In: The 2012 International Joint Conference on Neural Networks (IJCNN). IEEE. Brisbane. [Google Scholar]
- Sarigül, M., Ozyildirim B.M., Avci, M. (2019) Differential convolutional neural network. Neural Networks, 116:279-287. [Google Scholar]
- Wu, Y.Q., Meng, T.L., Wu, S.H. (2015) Research Progress of Image Threshold Segmentation Method for 20 Years (1994—2014). Journal of Data Acquisition and Processing, 30(01): 1-23. [Google Scholar]
- Krizhevsky, A., Sutskever, I., Hinton, G. (2012) ImageNet Classification with Deep Convolutional Neural Networks. In: NIPS. Curran Associates Inc. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.