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Updated: Jul 20, 2025

UV-Vis Spectroscopic Characterization of Nanomaterials in Aqueous Media
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HUM:使用紫外可见吸收光谱和机器学习进行水化分析的综述

J Barrett Carter1, Ray Huffaker1, Aditya Singh1

  • 1Department of Agricultural and Biological Engineering, University of Florida, 1741 Museum Road, Gainesville, FL 32611-0570, United States of America.

The Science of the total environment
|July 31, 2023
PubMed
概括

使用紫外可见吸收光谱和机器学习 (HUM) 的水化学分析为传统的水质测试提供了更快,更有效的替代方案. 需要进一步的研究来优化HUM.

关键词:
机器学习是机器学习.审查 审查 审查 审查紫外线可见吸收光谱学水的质量 水的质量

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