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 …
Review of urban computing in air quality management as smart city service: An integrated IoT, AI, and cloud technology perspective
Cities foster economic growth. However, growing cities also contribute to air pollution and
climate change. The paper provides a perspective regarding the opportunity available in …
climate change. The paper provides a perspective regarding the opportunity available in …
Predicting next hour fine particulate matter (PM2. 5) in the Istanbul Metropolitan City using deep learning algorithms with time windowing strategy
Poor air quality has various detrimental physical and mental effects on human health and
quality of life. In particular, PM 2.5 air pollution has been associated with cardiovascular and …
quality of life. In particular, PM 2.5 air pollution has been associated with cardiovascular and …
24-Hour prediction of PM2. 5 concentrations by combining empirical mode decomposition and bidirectional long short-term memory neural network
Accurate prediction of the future PM 2.5 concentration is crucial to human health and
ecological environmental protection. Nowadays, deep learning methods show advantages …
ecological environmental protection. Nowadays, deep learning methods show advantages …
Combining Machine Learning and Numerical Simulation for High-Resolution PM2.5 Concentration Forecast
Forecasting ambient PM2. 5 concentrations with spatiotemporal coverage is key to alerting
decision makers of pollution episodes and preventing detrimental public exposure …
decision makers of pollution episodes and preventing detrimental public exposure …
[HTML][HTML] Machine learning parallel system for integrated process-model calibration and accuracy enhancement in sewer-river system
The process-based water system models have been transitioning from single-functional to
integrated multi-objective and multi-functional since the worldwide digital upgrade of urban …
integrated multi-objective and multi-functional since the worldwide digital upgrade of urban …
A balanced social LSTM for PM2. 5 concentration prediction based on local spatiotemporal correlation
L Shi, H Zhang, X Xu, M Han, P Zuo - Chemosphere, 2022 - Elsevier
Reliable prediction for the concentration of PM 2.5 has become a hot topic in pollution
prevention. However, the prediction for PM 2.5 concentration remains a challenge, one of …
prevention. However, the prediction for PM 2.5 concentration remains a challenge, one of …
Predicting high-resolution air quality using machine learning: Integration of large eddy simulation and urban morphology data
S Wang, J McGibbon, Y Zhang - Environmental Pollution, 2024 - Elsevier
Accurately predicting air pollutants, especially in urban areas with well-defined spatial
structures, is crucial. Over the past decade, machine learning techniques have been widely …
structures, is crucial. Over the past decade, machine learning techniques have been widely …
On prediction of air pollutants with Takagi-Sugeno models based on a hierarchical clustering identification method
Z Ren, X Ji - Atmospheric Pollution Research, 2023 - Elsevier
In recent years, air pollution has attracted considerable attention worldwide. As an effective
air protection method, the accurate prediction of air pollutants can help provide an early …
air protection method, the accurate prediction of air pollutants can help provide an early …
PM2. 5 concentration prediction system combining fuzzy information granulation and multi-model ensemble learning
Y Chen, J Wang, R Li, J Gao - Journal of Environmental Sciences, 2024 - Elsevier
With the rapid development of economy, air pollution caused by industrial expansion has
caused serious harm to human health and social development. Therefore, establishing an …
caused serious harm to human health and social development. Therefore, establishing an …