Denoising Raman Spectra Using Autoencoder for Improved Analysis of Contamination in HDD-Reference-Cited by-同舟云学术

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Denoising Raman Spectra Using Autoencoder for Improved Analysis of Contamination in HDD

Published:2024 Issue: Volume:12 Page:113661-113676
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Gulyanon Sarun¹^ORCID,Deepaisarn Somrudee²^ORCID,Chokphantavee Sorawit²^ORCID,Chokphantavee Sirawit²^ORCID,Prathipasen Phuriphan²,Laitrakun Seksan²,Opaprakasit Pakorn²^ORCID,Viriyavit Waranrach²^ORCID,Jaikaew Narisara²^ORCID,Jindakaew Jirawan²^ORCID,Rakpongsiri Pornchai³^ORCID,Meechamnan Thawanpat³^ORCID,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

Funder

Western Digital Storage Technologies (Thailand) Ltd.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10637964.pdf?arnumber=10637964

Reference71 articles.

1. Deep Learning for Audio Signal Processing

2. An automated deep learning pipeline based on advanced optimisations for leveraging spectral classification modelling

3. Deep learning for chemometric analysis of plastic spectral data from infrared and Raman databases

4. Analysis and comparison of machine learning methods for blood identification using single-cell laser tweezer Raman spectroscopy

5. Glioma biopsies Classification Using Raman Spectroscopy and Machine Learning Models on Fresh Tissue Samples

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