Enhancing substance identification by Raman spectroscopy using deep neural convolutional networks with an attention mechanism-Reference-Cited by-同舟云学术

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Enhancing substance identification by Raman spectroscopy using deep neural convolutional networks with an attention mechanism

Published:2024 Issue:34 Volume:16 Page:5793-5801
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Xie Yuhao¹²,Wang Zilong¹²,Chen Qiang³,Tang Heshan²,Huang Jie¹,Liang Pei¹²^ORCID

Affiliation:

1. College of Optical and Electronic Technology, China Jiliang University, 310018, Hangzhou, China

2. Xiamen Palantier Technology Co., Ltd, Xiamen, 361115, China

3. College of Metrology and Measurement Engineering, China Jiliang University, Hangzhou 310018, China

Abstract

Raman spectroscopy is widely used for substance identification, providing molecular information from various components along with noise and instrument interference.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

National Key Research and Development Program of China

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/AY/D4AY00602J

Reference36 articles.

1. Modeling and Risk Analysis of Chemical Terrorist Attacks: A Bayesian Network Method

2. Field determination of hazardous chemicals in public security by using a hand-held Raman spectrometer and a deep architecture-search network

3. X-ray Spectrometry

4. A review of X-ray explosives detection techniques for checked baggage

5. Fluorescence Quenching as an Indirect Detection Method for Nitrated Explosives

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