A novel machine learning approach for surface roughness quantification and optimization of cast-on-strap lead-antimony alloy via two-point correlation function

Authors

Mohamed Basyoni
Yang Jiao
Nageh K. Allam

Document Type

Research Article

Publication Title

Scientific Reports

Publication Date

8-17-2023

doi

10.1038/s41598-023-39619-z

Recommended Citation

APA Citation

Basyoni, M. Jiao, Y. & Allam, N. (2023). A novel machine learning approach for surface roughness quantification and optimization of cast-on-strap lead-antimony alloy via two-point correlation function. Scientific Reports, 13, https://doi.org/10.1038/s41598-023-39619-z

MLA Citation

Basyoni, Mohamed, et al. "A novel machine learning approach for surface roughness quantification and optimization of cast-on-strap lead-antimony alloy via two-point correlation function." Scientific Reports, vol. 13, 2023
https://doi.org/10.1038/s41598-023-39619-z