DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins

DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins

To classify raw SERS Raman spectra from biological materials, we propose DeepRaman, a new architecture inspired by the Progressive Fourier Transform and integrated with the scalogram transformation approach. Unlike standard machine learning approaches such as PCA, LDA, SVM, RF, GBM etc, DeepRaman fu...

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Bibliographic Details
Main Author: Samir Brahim, Belhaouari (author)
Other Authors: Talbi, Abdelhamid (author), Elgamal, Mahmoud (author), Elmagarmid, Khadija Ahmed (author), Ghannoum, Shaimaa (author), Yang, Yanjun (author), Zhao, Yiping (author), Zughaier, Susu M. (author), Bensmail, Halima (author)
Format: article
Published: 2025
Subjects:
Raman spectroscopy
CNN
Fourier transform
Progressive fourier transform
Scalogram
SVM
k-NN
ImageNet
Dense CNN
Online Access:http://dx.doi.org/10.1016/j.heliyon.2025.e42550
https://www.sciencedirect.com/science/article/pii/S2405844025009302
http://hdl.handle.net/10576/64058
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http://dx.doi.org/10.1016/j.heliyon.2025.e42550
https://www.sciencedirect.com/science/article/pii/S2405844025009302
http://hdl.handle.net/10576/64058

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