A Survey of Deep learning in Advancing Steel Industry Standards-Reference-Cited by-同舟云学术

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A Survey of Deep learning in Advancing Steel Industry Standards

Published:2024-02-21 Issue: Volume:13 Page:1-7
ISSN:
Container-title:2024 20th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP)
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Author:

Aghapanah Hamed¹,Rad Ali Saeeidi²,Rasti Reza²

Affiliation:

1. Isfahan University of Medical Sciences,School of Advanced Technologies in Medicine,Department of Bioelectrics and Biomedical Engineering,Isfahan,Iran

2. University of Isfahan,Faculty of Engineering,Department of Biomedical Engineering,Isfahan,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10475172/10475200/10475283.pdf?arnumber=10475283

Reference48 articles.

1. Prediction of Temperature of Liquid Steel in Ladle Using Machine Learning Techniques

2. Large Language Models are Few-shot Testers: Exploring LLM-based General Bug Reproduction

3. Roco: Dialectic multi-robot collaboration with large language models;Mandi;arXiv Prepr. arXiv2307.04738,2023

4. Drive as you speak: Enabling human-like interaction with large language models in autonomous vehicles;Cui;arXiv Prepr. arXiv2309.10228,2023

5. ChatGPT for good? On opportunities and challenges of large language models for education

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