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Updated: Jul 3, 2026

Experimental Protocol for Detecting Cyanobacteria in Liquid and Solid Samples with an Antibody Microarray Chip
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Experimental Protocol for Detecting Cyanobacteria in Liquid and Solid Samples with an Antibody Microarray Chip

Published on: February 7, 2017

基于机器学习的早期预警水平预测,使用环境变量选择和数据重新采样来预测蓝藻细菌的繁殖.

Jin Hwi Kim1, Hankyu Lee1, Seohyun Byeon1

  • 1School of Civil and Environmental Engineering, Konkuk University, Gwangjin-gu, Seoul 05029, Republic of Korea.

Toxics
|December 22, 2023
PubMed
概括

这项研究通过使用数据重新抽样技术来解决不平衡的数据,改善了有害藻类繁殖 (HAB) 预测,提高了机器学习模型的准确性,用于早期发现繁殖.

关键词:
警报级别 警报级别 警报级别 警报级别数据重新抽样数据重新抽样.早期预警的早期警告.功能选择 功能选择有害的藻类的开花.机器学习是机器学习.

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