Applicability of machine learning in modeling of atmospheric particle pollution in Bangladesh

机译：机器学习在孟加拉国大气粒子污染建模中的适用性

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The online version of this article (10.1007/s11869-020-00878-8) contains supplementary material, which is available to authorized users.

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期刊名称 Nature Public Health Emergency Collection
作者
Shihab Ahmad Shahriar; Imrul Kayes; Kamrul Hasan; Mohammed Abdus Salam; Shawan Chowdhury;
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作者单位

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年(卷),期 -1(-1),-1
年度 -1
页码 -1
总页数 10
原文格式 PDF
正文语种
中图分类精神病学;
关键词
Machine learning; SVM; ANN; RFR; GPR; PROPHET; Particulate matter; Bangladesh;

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1. Applicability of Air pollution Modeling in a Cluster of Brickfields in Bangladesh [J] . S Ahmed, I Hossain Chemical Engineering Research Bulletin . 2008,第2期

机译：空气污染模型在孟加拉国一组砖块中的适用性
2. Applicability of an Automated Model and Parameter Selection in the Prediction of Screening-Level PTSD in Danish Soldiers Following Deployment: Development Study of Transferable Predictive Models Using Automated Machine Learning [J] . Karen-Inge Karstoft, Ioannis Tsamardinos, Kasper Eskelund, JMIR Medical Informatics . 2020,第7期

机译：自动模型和参数选择的适用性在部署后丹麦士兵中筛选级接触液的预测：使用自动化机器学习的可转移预测模型的开发研究
3. Four-metal-element quantitative analysis and pollution source discrimination in atmospheric sedimentation by laser-induced breakdown spectroscopy (LIBS) coupled with machine learning [J] . Xin Zhang, Nan Li, Chunhua Yan, Journal of Analytical Atomic Spectrometry . 2020,第2期

机译：激光诱导击穿光谱（LIBS）结合机器学习的大气沉降中四金属元素定量分析和污染源识别
4. Estimation of Microphysical Parameters of Atmospheric Pollution Using Machine Learning [C] . C. Llerena, D. Mueller, R. Adams, International conference on artificial neural networks . 2018

机译：用机器学习估算大气污染的微物理参数
5. Machine Learning and Remote Sensing in the Physical Sciences: Applications in Earth Surface and Atmospheric Modeling [D] . Breen, Katherine H. 2020

机译：物理科学中的机器学习和遥感：地球表面和大气建模中的应用
6. Estimation of the applicability domain of kernel-based machine learning models for virtual screening [O] . Nikolas Fechner, Andreas Jahn, Georg Hinselmann, 2010

机译：用于虚拟筛选的基于内核的机器学习模型的适用范围的估计
7. Applicability of machine learning in modeling of atmospheric particle pollution in Bangladesh [O] . Shihab Ahmad Shahriar, Imrul Kayes, Kamrul Hasan, 2020

机译：机器学习在孟加拉国大气粒子污染建模中的适用性

Applicability of machine learning in modeling of atmospheric particle pollution in Bangladesh

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