Bildiri
Tam Metin Bildiri
Uluslararası
2025
Data-Driven Quality Control in Iron and Steel Production: Evaluating the Impact of Carbon Content and Process Parameters Using Machine Learning
2nd International Congress on Trends and Advances in Global Research and Applications (TAGRA 2025)
ss. 307–316 · Erzurum · 13.12.2025 · 13.12.2025
Atıf için künye
ULAŞ, H., & Irmak, T. (2025). Data-Driven Quality Control in Iron and Steel Production: Evaluating the Impact of Carbon Content and Process Parameters Using Machine Learning. 2nd International Congress on Trends and Advances in Global Research and Applications (TAGRA 2025), Erzurum (ss. 307–316).
BibTeX
@inproceedings{ulas2025-195774,
author = {ULAŞ, Hümeyra and Irmak, Tuba},
title = {Data-Driven Quality Control in Iron and Steel Production: Evaluating the Impact of Carbon Content and Process Parameters Using Machine Learning},
booktitle = {2nd International Congress on Trends and Advances in Global Research and Applications (TAGRA 2025)},
address = {Erzurum},
year = {2025},
pages = {307--316},
url = {https://akademik.atauni.edu.tr/yayinlar/195774-data-driven-quality-control-in-iron-and-steel-production-evaluating-the-impact}
}