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Updated: Jul 17, 2025

Sampling, Sorting, and Characterizing Microplastics in Aquatic Environments with High Suspended Sediment Loads and Large Floating Debris
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机器学习方法用于预测泥炭地地区的微塑料污染.

Huu-Tuan Tran1, Mohammed Hadi2, Thi Thu Hang Nguyen3

  • 1Laboratory of Ecology and Environmental Management, Science and Technology Advanced Institute, Van Lang University, Ho Chi Minh City 700000, Viet Nam; Faculty of Applied Technology, School of Technology, Van Lang University, Ho Chi Minh City 700000, Viet Nam.

Marine pollution bulletin
|August 28, 2023
PubMed
概括

科学家可以使用简单的测量方法,如pH值和盐度,预测泥炭地沉积物中的微塑料 (MP) 污染. 这项研究提供了一种监测环境污染的新方法.

关键词:
贝叶斯分析是贝叶斯分析.在LS-SVM中使用.这是LSTM的LSTM.微塑料预测的预测随机森林 (RF) 是一个随机的森林.斯皮尔曼的相关性.

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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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