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Chen, Xiong, Li, Jieqing, Liu, Honggao, Wang, Yuanzhong (2022) A fast multi-source information fusion strategy based on deep learning for species identification of boletes. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 274. 121137 doi:10.1016/j.saa.2022.121137

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Reference TypeJournal (article/letter/editorial)
TitleA fast multi-source information fusion strategy based on deep learning for species identification of boletes
JournalSpectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
AuthorsChen, XiongAuthor
Li, JieqingAuthor
Liu, HonggaoAuthor
Wang, YuanzhongAuthor
Year2022 (June)Volume274
PublisherElsevier BV
DOIdoi:10.1016/j.saa.2022.121137Search in ResearchGate
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Mindat Ref. ID16404570Long-form Identifiermindat:1:5:16404570:5
GUID0
Full ReferenceChen, Xiong, Li, Jieqing, Liu, Honggao, Wang, Yuanzhong (2022) A fast multi-source information fusion strategy based on deep learning for species identification of boletes. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 274. 121137 doi:10.1016/j.saa.2022.121137
Plain TextChen, Xiong, Li, Jieqing, Liu, Honggao, Wang, Yuanzhong (2022) A fast multi-source information fusion strategy based on deep learning for species identification of boletes. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 274. 121137 doi:10.1016/j.saa.2022.121137
In(2022) Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy Vol. 274. Elsevier BV

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