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...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Samir Brahim, Belhaouari (author)
مؤلفون آخرون: 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)
التنسيق: article
منشور في: 2025
الموضوعات:
Raman spectroscopy
CNN
Fourier transform
Progressive fourier transform
Scalogram
SVM
k-NN
ImageNet
Dense CNN
الوصول للمادة أونلاين: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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الانترنت

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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