Deep learning for air pollutant concentration prediction: A review

B Zhang, Y Rong, R Yong, D Qin, M Li, G Zou… - Atmospheric …, 2022 - Elsevier
Air pollution has become one of the critical environmental problem in the 21st century and
has attracted worldwide attentions. To mitigate it, many researchers have investigated the …

A systematic literature review of deep learning neural network for time series air quality forecasting

N Zaini, LW Ean, AN Ahmed, MA Malek - Environmental Science and …, 2022 - Springer
Rapid progress of industrial development, urbanization and traffic has caused air quality
reduction that negatively affects human health and environmental sustainability, especially …

A hybrid VMD-LSTM/GRU model to predict non-stationary and irregular waves on the east coast of China

L Zhao, Z Li, L Qu, J Zhang, B Teng - Ocean Engineering, 2023 - Elsevier
Accurate wave forecasting is essential for the safety of port and offshore structure operations
and ship navigation. Computational fluid dynamics (CFD) and traditional time series models …

Influence and prediction of PM2. 5 through multiple environmental variables in China

H Jin, X Chen, R Zhong, M Liu - Science of The Total Environment, 2022 - Elsevier
Abstract Fine particulate matter (PM2. 5) is an important indicator to measure the degree of
air pollution. With the pursuit of sustainable development of China's economy and society …

Simulating daily PM2. 5 concentrations using wavelet analysis and artificial neural network with remote sensing and surface observation data

Q Guo, Z He, Z Wang - Chemosphere, 2023 - Elsevier
Accurate PM 2.5 concentrations predicting is critical for public health and wellness as well
as pollution control. However, traditional methods are difficult to accurately predict PM 2.5 …

Predictive control of HVAC by multiple output GRU-CFD integration approach to manage multiple IAQ for commercial heritage building preservation

J Zhang, KH Poon, HHL Kwok, F Hou… - Building and …, 2023 - Elsevier
Excessive and fluctuating indoor air quality (IAQ) leads to destruction of historical buildings.
Regenerated commercial historic buildings are generally fitted with heating, ventilation, and …

[HTML][HTML] The application of machine learning to air pollution research: A bibliometric analysis

Y Li, Z Sha, A Tang, K Goulding, X Liu - Ecotoxicology and Environmental …, 2023 - Elsevier
Abstract Machine learning (ML) is an advanced computer algorithm that simulates the
human learning process to solve problems. With an explosion of monitoring data and the …

Predicting of Daily PM2.5 Concentration Employing Wavelet Artificial Neural Networks Based on Meteorological Elements in Shanghai, China

Q Guo, Z He, Z Wang - Toxics, 2023 - mdpi.com
Anthropogenic sources of fine particulate matter (PM2. 5) threaten ecosystem security,
human health and sustainable development. The accuracy prediction of daily PM2. 5 …

Prediction method of PM2. 5 concentration based on decomposition and integration

H Yang, W Wang, G Li - Measurement, 2023 - Elsevier
With the acceleration of urbanization leading to a general decrease in air quality, accurate
PM2. 5 concentration prediction is of the utmost practical meaning for the control and …

PM2. 5 forecasting for an urban area based on deep learning and decomposition method

N Zaini, LW Ean, AN Ahmed, M Abdul Malek… - Scientific Reports, 2022 - nature.com
Rapid growth in industrialization and urbanization have resulted in high concentration of air
pollutants in the environment and thus causing severe air pollution. Excessive emission of …