Deep Learning Binary-Classification Model for Casting Products Inspection-Reference-Cited by-同舟云学术

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Deep Learning Binary-Classification Model for Casting Products Inspection

Published:2022-01-21 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC)
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Author:

Omar Faraz¹,Sohrab Hashir¹,Saad Mohammad¹,Hameed Arsalan²,Bakhsh Farhad Ilahi³

Affiliation:

1. Aligarh Muslim University,Deptt.of Mechanical Engineeering,Aligarh,U.P.,India,202002

2. Aligarh Muslim University,Deptt.of Computer Engineeering,Aligarh,U.P.,India,202002

3. National Institute of Technology Srinagar,Deptt.of Electrical Engineeering,Srinagar,(J&K),India,190006

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9726525/9726244/09726590.pdf?arnumber=9726590

Reference10 articles.

1. Overview of the Speech Recognition Technology

2. Image Recognition with Deep Learning;islam;2018 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS),2018

3. Analysis of Criteria for the Selection of Machine Learning Frameworks

4. A systematic review on deep learning architectures and applications

5. Simple convolutional neural network on image classification

Cited by 4 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. Surface Inspection of Ductile Cast Iron Pipe for Both Regression and Defective Classification by Deep Learning;Journal of the Society of Materials Science, Japan;2024-02-15

2. Defect Detection of Casting Products Using Convolutional Neural Network;Lecture Notes in Networks and Systems;2024

3. Development of microcatheter tube extrusion angle estimation system using convolutional neural network segmentation;Scientific Reports;2023-10-27

4. Casting Fault Detection by Deep Convolution Neural Networks;2022 2nd Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology (ODICON);2022-11-11

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