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 …
A review on emerging artificial intelligence (AI) techniques for air pollution forecasting: Fundamentals, application and performance
Accurate air quality forecasting is critical for systematic pollution control as well as public
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …
Long short-term memory neural network for air pollutant concentration predictions: Method development and evaluation
Air pollutant concentration forecasting is an effective method of protecting public health by
providing an early warning against harmful air pollutants. However, existing methods of air …
providing an early warning against harmful air pollutants. However, existing methods of air …
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 …
Hydrogeochemical characterization based water resources vulnerability assessment in India's first Ramsar site of Chilka lake
A limnological site is significantly characterized by rich biological, chemical, and physical
properties of the environment and is also described as the epitome of a large aquatic …
properties of the environment and is also described as the epitome of a large aquatic …
A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2. 5 concentration forecasting
M Niu, Y Wang, S Sun, Y Li - Atmospheric environment, 2016 - Elsevier
To enhance prediction reliability and accuracy, a hybrid model based on the promising
principle of “decomposition and ensemble” and a recently proposed meta-heuristic called …
principle of “decomposition and ensemble” and a recently proposed meta-heuristic called …
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 …
Statistical Modeling Approaches for PM10 Prediction in Urban Areas; A Review of 21st-Century Studies
H Taheri Shahraiyni, S Sodoudi - Atmosphere, 2016 - mdpi.com
PM10 prediction has attracted special legislative and scientific attention due to its harmful
effects on human health. Statistical techniques have the potential for high-accuracy PM10 …
effects on human health. Statistical techniques have the potential for high-accuracy PM10 …
A new air quality monitoring and early warning system: Air quality assessment and air pollutant concentration prediction
Z Yang, J Wang - Environmental research, 2017 - Elsevier
Air pollution in many countries is worsening with industrialization and urbanization, resulting
in climate change and affecting people's health, thus, making the work of policymakers more …
in climate change and affecting people's health, thus, making the work of policymakers more …
A hybrid deep learning model to forecast particulate matter concentration levels in Seoul, South Korea
G Yang, HM Lee, G Lee - Atmosphere, 2020 - mdpi.com
Both long-and short-term exposure to high concentrations of airborne particulate matter (PM)
severely affect human health. Many countries now regulate PM concentrations. Early …
severely affect human health. Many countries now regulate PM concentrations. Early …