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 …
Recursive neural network model for analysis and forecast of PM10 and PM2. 5
F Biancofiore, M Busilacchio, M Verdecchia… - Atmospheric Pollution …, 2017 - Elsevier
Atmospheric particulate matter (PM) is one of the pollutant that may have a significant impact
on human health. Data collected during three years in an urban area of the Adriatic coast …
on human health. Data collected during three years in an urban area of the Adriatic coast …
Sources and levels of particulate matter in North African and Sub-Saharan cities: a literature review
L Naidja, H Ali-Khodja, S Khardi - Environmental Science and Pollution …, 2018 - Springer
In order to assess the significance of PM in ambient air, it is necessary to evaluate their
physical and chemical characteristics as well as identify their major emission sources. On a …
physical and chemical characteristics as well as identify their major emission sources. On a …
A hybrid spatiotemporal deep model based on CNN and LSTM for air pollution prediction
S Tsokov, M Lazarova, A Aleksieva-Petrova - Sustainability, 2022 - mdpi.com
Nowadays, air pollution is an important problem with negative impacts on human health and
on the environment. The air pollution forecast can provide important information to all …
on the environment. The air pollution forecast can provide important information to all …
Disparities in particulate matter (PM10) origins and oxidative potential at a city scale (Grenoble, France) – Part 2: Sources of PM10 oxidative potential using multiple …
LJS Borlaza, S Weber, JL Jaffrezo… - Atmospheric …, 2021 - acp.copernicus.org
The oxidative potential (OP) of particulate matter (PM) measures PM capability to potentially
cause anti-oxidant imbalance. Due to the wide range and complex mixture of species in …
cause anti-oxidant imbalance. Due to the wide range and complex mixture of species in …
Intelligent multivariable air-quality forecasting system based on feature selection and modified evolving interval type-2 quantum fuzzy neural network
J Wang, H Li, H Yang, Y Wang - Environmental Pollution, 2021 - Elsevier
Owing to the high nonlinearity and noise in the air quality index (AQI), tackling the
uncertainties and fuzziness in the forecasting process is still a prevalent problem. Therefore …
uncertainties and fuzziness in the forecasting process is still a prevalent problem. Therefore …
Air quality prediction by neuro-fuzzy modeling approach
YC Lin, SJ Lee, CS Ouyang, CH Wu - Applied soft computing, 2020 - Elsevier
This paper proposes an air quality prediction system based on the neuro-fuzzy network
approach. Historical time series data are employed to derive a set of fuzzy rules, or …
approach. Historical time series data are employed to derive a set of fuzzy rules, or …
[HTML][HTML] Disparities in particulate matter () origins and oxidative potential at a city scale (Grenoble, France) – Part 1: Source apportionment at three neighbouring …
LJS Borlaza, S Weber, G Uzu, V Jacob… - Atmospheric …, 2021 - acp.copernicus.org
A fine-scale source apportionment of PM 10 was conducted in three different urban sites
(background, hyper-center, and peri-urban) within 15 km of the city in Grenoble, France …
(background, hyper-center, and peri-urban) within 15 km of the city in Grenoble, France …
Regression trees modeling of time series for air pollution analysis and forecasting
SG Gocheva-Ilieva, DS Voynikova… - Neural Computing and …, 2019 - Springer
Solving the problems related to air pollution is crucial for human health and the ecosystems
in many urban areas throughout the world. The accumulation of large arrays of data with …
in many urban areas throughout the world. The accumulation of large arrays of data with …
Unraveling the Prediction of Fine Particulate Matter over Jaipur, India using Long Short-Term Memory Neural Network
Fine particulate matter (PM2. 5) is a perilous air pollutant for human health, especially when
present at high airborne concentrations. The national clean air program (NCAP) aims at a …
present at high airborne concentrations. The national clean air program (NCAP) aims at a …