Deep learning for air pollutant concentration prediction: A review
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 …
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
Rapid progress of industrial development, urbanization and traffic has caused air quality
reduction that negatively affects human health and environmental sustainability, especially …
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 …
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 **, 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 …
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 …
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 …
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
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 …
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 …
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 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
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 …
pollutants in the environment and thus causing severe air pollution. Excessive emission of …