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Updated: Jan 23, 2026

Combination of Adhesive-tape-based Sampling and Fluorescence in situ Hybridization for Rapid Detection of Salmonella on Fresh Produce
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基于检测极限和基于K-最近邻居的分类方法的比较评估,用于使用光衍生水质参数检测废水污染

Yustika Desti Yolanda1, Mita Nurhayati2, Sangsik Kim3

  • 1School of Advanced Science and Technology Convergence, Kyungpook National University, 2559 Gyeongsang-daero, Sangju, Gyeongsangbuk-do, 37224, Republic of Korea.

Journal of environmental management
|January 21, 2026
PubMed
概括

机器学习使用光数据准确检测废水污染. k-最近邻居 (KNN) 方法显示出优于检测极限 (LOD) 方法的性能,用于稳健的水质监测.

关键词:
激发排放矩阵机器学习分类机器学习分类.废水排放的排放情况水质监测 监测水质 监测水质

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