Toward Practical Augmentation of Raman Spectra for Deep Learning Classification of Contamination in HDD-Reference-Cited by-同舟云学术

Toward Practical Augmentation of Raman Spectra for Deep Learning Classification of Contamination in HDD

Published:2023-09-30 Issue:3 Volume:21 Page:208-215
ISSN:2234-8883
Container-title:Journal of information and communication convergence engineering
language:en
Short-container-title:JICCE

Author:

Laitrakun Seksan¹^ORCID,Deepaisarn Somrudee¹^ORCID,Gulyanon Sarun²^ORCID,Srisumarnk Chayud¹^ORCID,Chiewnawintawat Nattapol¹^ORCID,Angkoonsawaengsuk Angkoon¹^ORCID,Opaprakasit Pakorn¹^ORCID,Jindakaew Jirawan¹^ORCID,Jaikaew Narisara¹^ORCID

Affiliation:

1. Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani 12120, Thailand

2. College of Interdisciplinary Studies, Thammasat University, Pathum Thani 12120, Thailand

Publisher

Korea Institute of Information and Communication Engineering

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Media Technology,Information Systems

Link

https://pdf.medrang.co.kr/JICCE/2023/021/JICCE021-03-208.pdf

Reference32 articles.

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2. R. Nagarajan, Survey of cleaning and cleanliness measurement in disk drive manufacture, in Precision Cleaning, pp. 13-21, Feb., 1997.

3. Tip-Enhanced Raman Spectroscopy Studies on Amorphous Carbon Films and Carbon Overcoats in Commercial Hard Disk Drives

4. Optical Photothermal Infrared Microspectroscopy with Simultaneous Raman – A New Non-Contact Failure Analysis Technique for Identification of <10 μm Organic Contamination in the Hard Drive and other Electronics Industries

5. Deep learning-based component identification for the Raman spectra of mixtures

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