RamanFormer: A Transformer-Based Quantification Approach for Raman Mixture Components
Author:
Affiliation:
1. Signal Processing for Computational Intelligence Research Group (SP4CING), Informatics Institute, Istanbul Technical University, 34469 Istanbul, Turkey
2. ASELSAN Inc, Yenimahalle, 06200 Ankara, Turkey
Funder
ASELSAN
Publisher
American Chemical Society (ACS)
Link
https://pubs.acs.org/doi/pdf/10.1021/acsomega.3c09247
Reference64 articles.
1. Translating genomic tools to Raman spectroscopy analysis enables high-dimensional tissue characterization on molecular resolution
2. Application of surface-enhanced Raman spectroscopy in fast detection of toxic and harmful substances in food
3. Raman spectroscopy and machine learning for biomedical applications: Alzheimer’s disease diagnosis based on the analysis of cerebrospinal fluid
4. Rapid material identification via low-resolution Raman spectroscopy and deep convolutional neural network
5. Raman spectroscopy in forensic analysis: identification of cocaine and other illegal drugs of abuse
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