The application of wavelet transform of Raman spectra to facilitate transfer learning for gasoline detection and classification

The application of wavelet transform of Raman spectra to facilitate transfer learning for gasoline detection and classification

This study proposed an artificial intelligence (AI) approach for rapid, automatic detection of gasoline samples from different ignitable liquid samples based on their Raman spectra. The system integrated Raman spectroscopy, Raman signal transform, and transfer learning with a convolutional neural ne...

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Bibliographic Details
Main Authors: Ting-Yu Huang, Jianzhong Wang, Qingzhong Liu, Jorn Yu
Format: Article
Language:English
Published: Elsevier 2022-08-01
Series:Talanta Open
Subjects:
Hand-held Raman spectrometer
Convolutional neural network (CNN)
Continuous wavelet transform (CWT)
Transfer learning
Ignitable liquid
Artificial intelligence (AI)
Online Access:http://www.sciencedirect.com/science/article/pii/S266683192200025X

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http://www.sciencedirect.com/science/article/pii/S266683192200025X

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