Machine learning frameworks to accurately predict coke reactivity index

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Ayat Hussein Adhab, Morug Salih Mahdi, Krunal Vaghela, Anupam Yadav, Jayaprakash B, Mayank Kundlas, Ankur Srivastava, Jayant Jagtap, Aseel Salah Mansoor, Usama Kadem Radi, Nasr Saadoun Abd, Samim Sherzod
Format: Article
Language:English
Published: SAGE Publishing 2025-05-01
Series:Energy Exploration & Exploitation
Online Access:https://doi.org/10.1177/01445987251318353
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1177/01445987251318353

Similar Items