A Comparative Study of Noise Augmentation and Deep Learning Methods on Raman Spectral Classification of Contamination in Hard Disk Drive-Reference-Cited by-同舟云学术

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A Comparative Study of Noise Augmentation and Deep Learning Methods on Raman Spectral Classification of Contamination in Hard Disk Drive

Published:2022-11-05 Issue: Volume: Page:
ISSN:
Container-title:2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP)
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Author:

Gulyanon Sarun¹,Deepaisarn Somrudee²,Srisumarnk Chayud²,Chiewnawintawat Nattapol²,Angkoonsawaengsuk Angkoon²,Laitrakun Seksan²,Opaprakasit Pakorn²,Rakpongsiri Pornchai³,Meechamnan Thawanpat³,Sompongse Duangporn³

Affiliation:

1. College of Interdisciplinary Studies, Thammasat University,Pathum Thani,Thailand

2. Sirindhorn International Institute of Technology, Thammasat University,Pathum Thani,Thailand

3. Western Digital Storage Technologies (Thailand) Ltd.,Ayutthaya,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9960141/9960241/09960277.pdf?arnumber=9960277

Cited by 2 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. Denoising Raman Spectra Using Autoencoder for Improved Analysis of Contamination in HDD;IEEE Access;2024

2. Toward Practical Augmentation of Raman Spectra for Deep Learning Classification of Contamination in HDD;Journal of information and communication convergence engineering;2023-09-30

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