A review of artificial neural network models for ambient air pollution prediction
Research activity in the field of air pollution forecasting using artificial neural networks
(ANNs) has increased dramatically in recent years. However, the development of ANN …
(ANNs) has increased dramatically in recent years. However, the development of ANN …
Methods used for handling and quantifying model uncertainty of artificial neural network models for air pollution forecasting
SM Cabaneros, B Hughes - Environmental Modelling & Software, 2022 - Elsevier
The use of data-driven techniques such as artificial neural network (ANN) models for
outdoor air pollution forecasting has been popular in the past two decades. However …
outdoor air pollution forecasting has been popular in the past two decades. However …
Air pollution prediction by using an artificial neural network model
H Maleki, A Sorooshian, G Goudarzi, Z Baboli… - Clean technologies and …, 2019 - Springer
Air pollutants impact public health, socioeconomics, politics, agriculture, and the
environment. The objective of this study was to evaluate the ability of an artificial neural …
environment. The objective of this study was to evaluate the ability of an artificial neural …
Air pollutants concentrations forecasting using back propagation neural network based on wavelet decomposition with meteorological conditions
Air quality forecasting is an effective way to protect public health by providing an early
warning against harmful air pollutants. In this paper, a model W-BPNN using wavelet …
warning against harmful air pollutants. In this paper, a model W-BPNN using wavelet …
Discovering relationships and forecasting PM10 and PM2. 5 concentrations in Bogotá, Colombia, using artificial neural networks, principal component analysis, and k …
F Franceschi, M Cobo, M Figueredo - Atmospheric Pollution Research, 2018 - Elsevier
Air pollution is an important matter for local authorities in Bogotá (Colombia), with PM 10 and
PM 2.5 being the most serious air pollutants in the city. In the present study, data mining …
PM 2.5 being the most serious air pollutants in the city. In the present study, data mining …
A multi-criteria decision making (MCDM) for renewable energy plants location selection in Vietnam under a fuzzy environment
In the context of increasing energy demands in Vietnam, and as a result of the limited supply
of domestic energy (oil/gas/coal reserves are exhausted), the potential for renewable energy …
of domestic energy (oil/gas/coal reserves are exhausted), the potential for renewable energy …
Saharan dust intrusions in Spain: health impacts and associated synoptic conditions
Background A lot of papers have been published about the impact on mortality of Sahara
dust intrusions in individual cities. However, there is a lack of studies that analyse the impact …
dust intrusions in individual cities. However, there is a lack of studies that analyse the impact …
A hybrid PSO-SVM model based on clustering algorithm for short-term atmospheric pollutant concentration forecasting
Air pollution can lead to a wide range of hazards and can affect most organisms on Earth.
Therefore, managing and controlling air pollution has become a top priority for many …
Therefore, managing and controlling air pollution has become a top priority for many …
A new fuzzy time series model based on robust clustering for forecasting of air pollution
NG Dincer, Ö Akkuş - Ecological Informatics, 2018 - Elsevier
In this study, a new Fuzzy Time Series (FTS) model based on the Fuzzy K-Medoid (FKM)
clustering algorithm is proposed in order to forecast air pollution. FTS models generally have …
clustering algorithm is proposed in order to forecast air pollution. FTS models generally have …
Temporal convolutional denoising autoencoder network for air pollution prediction with missing values
In recent years, people are paying more attention to improve air quality levels to mitigate its
negative impact on human health. So, effective air pollution control has become one of the …
negative impact on human health. So, effective air pollution control has become one of the …