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Updated: Jul 14, 2026

Coupling Carbon Capture from a Power Plant with Semi-automated Open Raceway Ponds for Microalgae Cultivation
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可解释的人工智能用于解释藻繁殖估计中的集体学习表现.

Jungsu Park1, Byeongchan Seong2, Yeonjeong Park3

  • 1Department of Civil and Environmental Engineering, Hanbat National University, Republic of Korea.

Water environment research : a research publication of the Water Environment Federation
|October 9, 2024
PubMed
概括

机器学习使用水质数据准确预测叶绿素a度,这是藻类开花的关键指标. 可解释的人工智能识别了关键变量,实现了成本效益高,实时的水质管理.

关键词:
藻类的开花 藻类的开花整体机器学习 整体机器学习可解释的人工智能测量频率的测量频率是什么水的质量水的质量.流域管理 流域管理

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相关概念视频

Statistical Analysis: Overview01:11

Statistical Analysis: Overview

When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...