Machine learning frameworks to accurately predict coke reactivity index
Precisely forecasting coke reactivity index (CRI) plays a critical role in the metallurgical industry, as it enables optimization of coke quality, leading to cost-effective production and efficient resource utilization. In this research, several machine learning predictive models based on extra tree...
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| Principais autores: | , , , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SAGE Publishing
2025-05-01
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| coleção: | Energy Exploration & Exploitation |
| Acesso em linha: | https://doi.org/10.1177/01445987251318353 |
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