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Yoon, Tiem Leong, Yeap, Zhao Qin, Tan, Chu Shan, Chen, Ying, Chen, Jingying, Yam, Mun Fei (2022) A novel machine learning scheme for classification of medicinal herbs based on 2D-FTIR fingerprints. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 266. 120440 doi:10.1016/j.saa.2021.120440

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Reference TypeJournal (article/letter/editorial)
TitleA novel machine learning scheme for classification of medicinal herbs based on 2D-FTIR fingerprints
JournalSpectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
AuthorsYoon, Tiem LeongAuthor
Yeap, Zhao QinAuthor
Tan, Chu ShanAuthor
Chen, YingAuthor
Chen, JingyingAuthor
Yam, Mun FeiAuthor
Year2022 (February)Volume266
PublisherElsevier BV
DOIdoi:10.1016/j.saa.2021.120440Search in ResearchGate
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Mindat Ref. ID16404012Long-form Identifiermindat:1:5:16404012:0
GUID0
Full ReferenceYoon, Tiem Leong, Yeap, Zhao Qin, Tan, Chu Shan, Chen, Ying, Chen, Jingying, Yam, Mun Fei (2022) A novel machine learning scheme for classification of medicinal herbs based on 2D-FTIR fingerprints. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 266. 120440 doi:10.1016/j.saa.2021.120440
Plain TextYoon, Tiem Leong, Yeap, Zhao Qin, Tan, Chu Shan, Chen, Ying, Chen, Jingying, Yam, Mun Fei (2022) A novel machine learning scheme for classification of medicinal herbs based on 2D-FTIR fingerprints. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 266. 120440 doi:10.1016/j.saa.2021.120440
In(2022) Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy Vol. 266. Elsevier BV

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