Prediction of Silicon Content in a Blast Furnace via Machine Learning: A Comprehensive Processing and Modeling Pipeline.

Raza O, Walla N, Okosun T, Leontaras K, Entwistle J, Zhou C

Open source

DOI
10.3390/ma18030632
Published
2025 Jan 30
Container
Materials (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/ma18030632,
  title = {Prediction of Silicon Content in a Blast Furnace via Machine Learning: A Comprehensive Processing and Modeling Pipeline.},
  author = {Raza O and Walla N and Okosun T and Leontaras K and Entwistle J and Zhou C},
  year = {2025},
  journal = {Materials (Basel, Switzerland)},
  doi = {10.3390/ma18030632},
  url = {https://doi.org/10.3390/ma18030632}
}

RIS

TY  - JOUR
TI  - Prediction of Silicon Content in a Blast Furnace via Machine Learning: A Comprehensive Processing and Modeling Pipeline.
AU  - Raza O
AU  - Walla N
AU  - Okosun T
AU  - Leontaras K
AU  - Entwistle J
AU  - Zhou C
PY  - 2025
JO  - Materials (Basel, Switzerland)
DO  - 10.3390/ma18030632
UR  - https://doi.org/10.3390/ma18030632
ER  - 

APA

O, R., N, W., T, O., K, L., J, E., & C, Z. (2025). Prediction of Silicon Content in a Blast Furnace via Machine Learning: A Comprehensive Processing and Modeling Pipeline.. Materials (Basel, Switzerland). https://doi.org/10.3390/ma18030632

Source records