General Network Framework for Mixture Raman Spectrum Identification Based on Deep Learning

General Network Framework for Mixture Raman Spectrum Identification Based on Deep Learning

Raman spectroscopy is a powerful tool for identifying substances, yet accurately analyzing mixtures remains challenging due to overlapping spectra. This study aimed to develop a deep learning-based framework to improve the identification of components in mixtures using Raman spectroscopy. We propose...

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Bibliographic Details
Main Authors: Yilong Zhang, Tianke Wang, Kang Du, Peng Chen, Haixia Wang, Haohao Sun
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
Subjects:
Raman spectroscopy
deep learning
feature fusion
attention mechanism
convolutional generative adversarial networks
Online Access:https://www.mdpi.com/2076-3417/14/22/10245
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