Toward Practical Augmentation of Raman Spectra for Deep Learning Classification of Contamination in HDD
Seksan Laitrakun,
Somrudee Deepaisarn,
Sarun Gulyanon
et al.
Abstract:Deep learning techniques provide powerful solutions to several pattern-recognition problems, including Raman spectral classification. However, these networks require large amounts of labeled data to perform well. Labeled data, which are typically obtained in a laboratory, can potentially be alleviated by data augmentation. This study investigated various data augmentation techniques and applied multiple deep learning methods to Raman spectral classification. Raman spectra yield fingerprint-like information abo… Show more
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