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

Journal of information and communication convergence engineering 2023 7 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.

Seksan Laitrakun, Somrudee Deepaisarn, Seksan Laitrakun, Seksan Laitrakun, Seksan Laitrakun, Sarun Gulyanon, Somrudee Deepaisarn, Sarun Gulyanon, Somrudee Deepaisarn, Pakorn Opaprakasit, Chayud Srisumarnk, Somrudee Deepaisarn, Pakorn Opaprakasit, Pakorn Opaprakasit, Nattapol Chiewnawintawat, Seksan Laitrakun, Pakorn Opaprakasit, Angkoon Angkoonsawaengsuk, Pakorn Opaprakasit, Jirawan Jindakaew, Sarun Gulyanon, Narisara Jaikaew

Summary

This paper is not directly about microplastics — it develops data augmentation strategies for Raman spectroscopy combined with deep learning to classify surface contamination in hard disk drive manufacturing.

Seksan Laitrakun, Somrudee Deepaisarn, Sarun Gulyanon, Chayud Srisumarnk, Nattapol Chiewnawintawat, Angkoon Angkoonsawaengsuk, Pakorn Opaprakasit, Jirawan Jindakaew, and Narisara Jaikaew. Journal of information and communication convergence engineering 2023;21:208-15. https://doi.org/10.56977/jicce.2023.21.3.208

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