Predicting the ground-level pollutants concentrations and identifying the influencing factors using machine learning, wavelet transformation, and remote sensing …

Z Ebrahimi-Khusfi, R Taghizadeh-Mehrjardi… - Atmospheric Pollution …, 2021 - Elsevier
This study was conducted to evaluate the performance of the support vector regression
(SVR) model with and without applying wavelet transformation for predicting the PM10, PM2 …

[引用][C] Predicting the ground-level pollutants concentrations and identifying the influencing factors using machine learning, wavelet transformation, and remote sensing …

Z Ebrahimi-Khusfi… - Atmospheric …, 2021 - tobias-lib.ub.uni-tuebingen.de
Predicting the ground-level pollutants concentrations and identifying the influencing factors using
machine learning, wavelet transformation, and remote sensing techniques Predicting the …

Predicting the ground-level pollutants concentrations and identifying the influencing factors using machine learning, wavelet transformation, and remote sensing …

Z Ebrahimi-Khusfi… - Atmospheric …, 2021 - ui.adsabs.harvard.edu
This study was conducted to evaluate the performance of the support vector regression
(SVR) model with and without applying wavelet transformation for predicting the PM10, PM2 …

[引用][C] Predicting the ground-level pollutants concentrations and identifying the influencing factors using machine learning, wavelet transformation, and remote sensing …

Z Ebrahimi-Khusfi… - Atmospheric …, 2021 - ub01.uni-tuebingen.de
Predicting the ground-level pollutants concentrations and identifying the influencing factors using
machine learning, wavelet transformation, and remote sensing techniques Predicting the …