Strip running deviation monitoring and feedback real-time in smart factories based on improved YOLOv5-Reference-Cited by-同舟云学术

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Strip running deviation monitoring and feedback real-time in smart factories based on improved YOLOv5

Published:2023-12 Issue: Volume:40 Page:100923
ISSN:2210-5379
Container-title:Sustainable Computing: Informatics and Systems
language:en
Short-container-title:Sustainable Computing: Informatics and Systems

Author:

Luo Jun,Wang Gang,Zhou Mingliang,Pu Huayan,Luo Jun

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Natural Science Foundation of Chongqing Municipality

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science

Reference30 articles.

1. Development, current situation and prospect of Chinese steel rolling technology in recent years;Wang;Steel Roll.,2017

2. Factors influencing deviation of strip steel in the furnace of recoil unit;Gao;Metall. Equip.,2021

3. Prediction of deviation in hot finish rolling strip based on principal component analysis-BP neural network;Yu;Shandong Metall.,2019

4. Review of vision-based steel surface inspection systems;Neogi;EURASIP J. Image Video Process.,2014

5. Automatic defect detection on hot-rolled flat steel products;Ghorai;IEEE Trans. Instrum. Meas.,2012

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Road Crack Defect Detection Based on Improved YOLOv5;2023 3rd International Conference on Intelligent Communications and Computing (ICC);2023-11-24

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