Forensic Characterization of Tires by Attenuated Total Reflectance–Fourier Transform Infrared (ATR–FTIR) Spectroscopy and Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Forensic Characterization of Tires by Attenuated Total Reflectance–Fourier Transform Infrared (ATR–FTIR) Spectroscopy and Machine Learning Algorithms

Published:2022-10-28 Issue:10 Volume:56 Page:1551-1565
ISSN:0003-2719
Container-title:Analytical Letters
language:en
Short-container-title:Analytical Letters

Author:

Du Haojun¹

Affiliation:

1. Department of Traffic Management, Hunan Police College, Changsha, Hunan, China

Publisher

Informa UK Limited

Subject

Electrochemistry,Biochemistry (medical),Clinical Biochemistry,Spectroscopy,Biochemistry,Analytical Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/00032719.2022.2138422

Reference21 articles.

1. Forensic Investigations of Diesel Oil Spills in the Environment Using Comprehensive Two-Dimensional Gas Chromatography–High Resolution Mass Spectrometry and Chemometrics: New Perspectives in the Absence of Recalcitrant Biomarkers

2. Determination of trace amounts with ATR FTIR spectroscopy and chemometrics: 5-(hydroxymethyl)furfural in honey

3. Application of Spectroscopy Technology in Nanomaterials in Identification of Chinese Paintings

4. Non-invasive identification of commercial green tea blends using NIR spectroscopy and support vector machine

5. Recovery of tire rubber waste after UV treatment as a recycled aggregate in cementitious composites

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancing automobile identification and brand discrimination from tyre rubber through Machine learning algorithms for forensic investigations;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy;2024-03

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