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 …
[HTML][HTML] Artificial intelligence technologies for forecasting air pollution and human health: a narrative review
Air pollution is a major issue all over the world because of its impacts on the environment
and human beings. The present review discussed the sources and impacts of pollutants on …
and human beings. The present review discussed the sources and impacts of pollutants on …
An innovative coupled model in view of wavelet transform for predicting short-term PM10 concentration
W Qiao, Y Wang, J Zhang, W Tian, Y Tian… - Journal of Environmental …, 2021 - Elsevier
Wavelet transform (WT) is an advanced preprocessing technique, which has been widely
used in PM 10 prediction. However, this technique cannot provide stable performance due …
used in PM 10 prediction. However, this technique cannot provide stable performance due …
Intelligent modeling strategies for forecasting air quality time series: A review
In recent years, the deterioration of air quality, the frequent events of the air contaminants,
and the health impacts from that have caused continuous attention by the government and …
and the health impacts from that have caused continuous attention by the government and …
Prediction of air quality indicators for the Beijing-Tianjin-Hebei region
L Wu, N Li, Y Yang - Journal of Cleaner Production, 2018 - Elsevier
Abstract The Beijing-Tianjin-Hebei region is facing a very serious air pollution problem. To
obtain the future trend of air quality, the GM (1, 1) model with the fractional order …
obtain the future trend of air quality, the GM (1, 1) model with the fractional order …
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 …
Development and application of an automated air quality forecasting system based on machine learning
As one of the most concerned issues in modern society, air quality has received extensive
attentions from the public and the government, which promotes the continuous development …
attentions from the public and the government, which promotes the continuous development …
Air quality index forecasting via genetic algorithm-based improved extreme learning machine
C Liu, G Pan, D Song, H Wei - IEEE Access, 2023 - ieeexplore.ieee.org
Air quality has always been one of the most important environmental concerns for the
general public and society. Using machine learning algorithms for Air Quality Index (AQI) …
general public and society. Using machine learning algorithms for Air Quality Index (AQI) …
Hourly PM2. 5 concentration forecasting based on feature extraction and stacking-driven ensemble model for the winter of the Beijing-Tianjin-Hebei area
W Sun, Z Li - Atmospheric Pollution Research, 2020 - Elsevier
Precise forecasting of hourly PM 2.5 concentration is essential for its monitoring and
controlling, especially for the winter of the Beijing-Tianjin-Hebei area as severe haze …
controlling, especially for the winter of the Beijing-Tianjin-Hebei area as severe haze …
An adaptive decomposition and ensemble model for short-term air pollutant concentration forecast using ICEEMDAN-ICA
Precise short-term atmospheric pollutant concentration forecasting is significant for providing
early warning information against harmful pollutants. Many studies on pollutant …
early warning information against harmful pollutants. Many studies on pollutant …