A machine-learning framework for predicting multiple air pollutants' concentrations via multi-target regression and feature selection
S Masmoudi, H Elghazel, D Taieb, O Yazar… - Science of the Total …, 2020 - Elsevier
Air pollution is considered one of the biggest threats for the ecological system and human
existence. Therefore, air quality monitoring has become a necessity in urban and industrial …
existence. Therefore, air quality monitoring has become a necessity in urban and industrial …
Linear and nonlinear modeling approaches for urban air quality prediction
KP Singh, S Gupta, A Kumar, SP Shukla - Science of the Total Environment, 2012 - Elsevier
In this study, linear and nonlinear modeling was performed to predict the urban air quality of
the Lucknow city (India). Partial least squares regression (PLSR), multivariate polynomial …
the Lucknow city (India). Partial least squares regression (PLSR), multivariate polynomial …
Forecasting SO2 pollution incidents by means of quantile curves based on additive models
I Martínez‐Silva, J Roca‐Pardiñas, C Ordóñez - Environmetrics, 2016 - Wiley Online Library
More than 90% of the sulfur dioxide in the air comes from human sources. Because of the
adverse health effects of high levels of sulfur dioxide, specific regulations have been …
adverse health effects of high levels of sulfur dioxide, specific regulations have been …
Predicting SO2 pollution incidents by means of additive models with optimum variable selection
M Sestelo, J Roca-Pardinas, C Ordónez - Atmospheric Environment, 2014 - Elsevier
The aim of this paper is to predict time series of SO 2 concentrations emitted by coal-fired
power stations in order to estimate in advance emission episodes and analyze the influence …
power stations in order to estimate in advance emission episodes and analyze the influence …