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Updated: Jul 22, 2025

Author Spotlight: Advancements in X-ray CT Tool Chain for Tree Core Analysis
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关于Cyclobalanopsis (结束) 的木材识别 首先是基于微观特征和CTGAN增强的可解释机器学习模型

Weihui Zhan1, Bowen Chen1, Xiaolian Wu1

  • 1College of Materials Engineering, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China.

Frontiers in plant science
|July 24, 2023
PubMed
概括

准确的木材物种识别对于保护至关重要. 使用机器学习和模拟细胞数据的新模型实现了对Cyclobalanopsis物种的高精度,提供了一个高效的解决方案.

关键词:
在 CTGANAN 中使用.循环巴拉诺普西斯 (结束) 第一个是Oerst.在 LIME 时代,机器学习是机器学习.木材识别木材的识别方法

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