IoT-based framework for digital twins in steel production: A case study of key parameter prediction and optimization for CSR-Reference-Cited by-同舟云学术

IoT-based framework for digital twins in steel production: A case study of key parameter prediction and optimization for CSR

Published:2024-09 Issue: Volume:250 Page:123909
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Li Jingdong,Wang Xiaochen^ORCID,Yang Quan,Sun Youzhao,Zhao Jianwei,Mao Xing,Qie Haotang

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference57 articles.

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2. Variable speed rolling force prediction with theoretical and data-driven models;Cao;International Journal of Mechanical Sciences,2024

3. Spatiotemporally continuous PM2.5 dataset in the Mekong River basin from 2015 to 2022 using a stacking model;Chen;Science of the Total Environment,2024

4. Prediction of tandem cold-rolled strip flatness based on attention-LSTM model;Chen;Journal of Manufacturing Processes,2023

5. Iron and steel recycling: Review, conceptual model, irreducible mining requirements, and energy implications;Danny Harvey;Renewable and Sustainable Energy Reviews,2021

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