Prediction of PM2.5 and PM10 in Chiang Mai Province: A Comparison of Machine Learning Models-Reference-Cited by-同舟云学术

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Prediction of PM2.5 and PM10 in Chiang Mai Province: A Comparison of Machine Learning Models

Published:2022-07-05 Issue: Volume: Page:
ISSN:
Container-title:2022 37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC)
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Author:

Thongrod Thitaporn¹,Lim Apiradee²,Ingviya Thammasin³,Owusu Benjamin Atta²

Affiliation:

1. College of Digital Science, Prince of Songkla University,Songkhla,Thailand,90110

2. Mathematics and Computer Science, Prince of Songkla University,Pattani,Thailand,94000

3. Family and Preventive Medicine, Prince of Songkla University,Songkhla,Thailand,90110

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9894733/9894851/09894884.pdf?arnumber=9894884

Reference18 articles.

1. Characterization of Particulate Matter Profiling and Alveolar Deposition from Biomass Burning in Northern Thailand: The 7-SEAS Study

2. Acute effects of air pollution on peak expiratory flow rates and symptoms among asthmatic patients in Chiang Mai, Thailand

3. The Long-term Characteristics of PM 10 and PM 2.5 in Bangkok, Thailand;chirasophon;Asian Journal of Atmospheric Environment (AJAE),2021

4. Seasonal Patterns and Trends of Air Pollution in the Upper Northern Thailand from 2004 to 2018

5. Machine learning algorithms for predicting air pollutants

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of Particulate Matter (PM2.5) for Industrial Area Based on Naive Bayes Classifier;Lecture Notes in Networks and Systems;2024

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