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Wood identification of Cyclobalanopsis (Endl.) Oerst based on microscopic features and CTGAN-enhanced explainable machine learning models
INTRODUCTION: Accurate and fast identification of wood at the species level is critical for protecting and conserving tree species resources. The current identification methods are inefficient, costly, and complex METHODS: A wood species identification model based on wood anatomy and using the Cyclo...
Autores principales: | Zhan, Weihui, Chen, Bowen, Wu, Xiaolian, Yang, Zhen, Lin, Che, Lin, Jinguo, Guan, Xin |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10361066/ https://www.ncbi.nlm.nih.gov/pubmed/37484454 http://dx.doi.org/10.3389/fpls.2023.1203836 |
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