Deep Learning for Hot Rolled Steel Surface Rust Defects Detection-Reference-Cited by-同舟云学术

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Deep Learning for Hot Rolled Steel Surface Rust Defects Detection

Published:2022-05-21 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 12th Symposium on Computer Applications & Industrial Electronics (ISCAIE)
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Author:

Chen Wai Yang¹,Huat Chua Kein²,Bonab Mohammad Babrdel²,Wai Chew Kuew²,Morris Stella²,Wang Li³

Affiliation:

1. Universiti Tunku Abdul Rahman,Dept. of Electrical and Electronic Engineering,Kajang,Malaysia

2. Universiti Tunku Abdul Rahman,Lee Kong Chian Faculty of Engineering and Science,Kajang,Malaysia

3. National Cheng Kung University,Department of Electrical Engineering,Tainan,Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9794457/9794462/09794506.pdf?arnumber=9794506

Reference15 articles.

1. Object Classification

2. Video object detection with a convolutional regression tracker

3. Deep learning-based ash content prediction of coal flotation concentrate using convolutional neural network

4. Convolutional neural network architectures

5. Detection of Rust Defects of Protective Coatings Based on HSV Color Model

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