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Thongthammachart, Tin
7  Ergebnisse:
Personensuche X
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1

Improving Machine Learning Based PM2.5 Prediction by Segreg..:

Sukprasert, Supitcha ; Shimadera, Hikari ; Araki, Shin...
E3S Web of Conferences.  530 (2024)  - p. 01004 , 2024
Link: https://doi.org/10.1051/..
 
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2

Land use regression model established using Light Gradient ..:

Thongthammachart, Tin ; Shimadera, Hikari ; Araki, Shin..
Atmospheric Environment.  297 (2023)  - p. 119595 , 2023
Link: https://doi.org/10.1016/..
 
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3

Incorporating Light Gradient Boosting Machine to land use r..:

Thongthammachart, Tin ; Araki, Shin ; Shimadera, Hikari..
Environmental Modelling & Software.  155 (2022)  - p. 105447 , 2022
Link: https://doi.org/10.1016/..
 
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4

An integrated model combining random forests and WRF/CMAQ m..:

Thongthammachart, Tin ; Araki, Shin ; Shimadera, Hikari...
Atmospheric Environment.  262 (2021)  - p. 118620 , 2021
Link: https://doi.org/10.1016/..
 
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5

Estimating PM2.5concentrations with statistical distributio..:

Thongthammachart, Tin ; Jinsart, Wanida
Human and Ecological Risk Assessment: An International Journal.  26 (2019)  7 - p. 1848-1863 , 2019
Link: https://doi.org/10.1080/..
 
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6

PM10 and PM2.5 concentrations in Bangkok over 10 years and ..:

Thongthammachart, Tin
https://digital.car.chula.ac.th/chulaetd/2408.  , 2018
Link: https://digital.car.chul..
 
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7

Health Risk Assessment of Nitrogen Dioxide and Sulfur Dioxi..:

Tin Thongthammachart ; Krittiya Pimkotr ; Wanida Jinsart
http://www.tshe.org/ea/pdf/EA10-2-19.pdf.  , 2017
Link: https://doi.org/10.14456..
 
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