Affiliation:
1. Department of Electrical and Computer Engineering, Boston University, Boston, USA
Abstract
We built a CNN model to classify graphene Raman spectra. Compared to other deep learning models and machine learning algorithms studied in this work, the CNN model achieves a high accuracy of 99% and is less sensitive to the SNR of Raman spectra.
Publisher
Royal Society of Chemistry (RSC)
Subject
Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry
Cited by
6 articles.
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