[HTML][HTML] Deep-learning architecture for PM2. 5 concentration prediction: A review
S Zhou, W Wang, L Zhu, Q Qiao, Y Kang - Environmental Science and …, 2024 - Elsevier
Accurately predicting the concentration of fine particulate matter (PM 2.5) is crucial for
evaluating air pollution levels and public exposure. Recent advancements have seen a …
evaluating air pollution levels and public exposure. Recent advancements have seen a …
Prediction of Hourly PM2.5 and PM10 Concentrations in Chongqing City in China Based on Artificial Neural Network
Q Guo, Z He, Z Wang - Aerosol and Air Quality Research, 2023 - Springer
Accurate prediction of air pollution is a difficult problem to be solved in atmospheric
environment research. An Artificial Neural Network (ANN) is exploited to predict hourly PM2 …
environment research. An Artificial Neural Network (ANN) is exploited to predict hourly PM2 …
State-of-art in modelling particulate matter (PM) concentration: a sco** review of aims and methods
Air pollution is the one of the most significant environmental risks to health worldwide. An
accurate assessment of population exposure would require a continuous distribution of …
accurate assessment of population exposure would require a continuous distribution of …
Forecasting of fine particulate matter based on LSTM and optimization algorithm
Accurate air pollution forecasting may provide valuable information for urban planning to
maintain environmental sustainability and reduce mortality risk due to health problems. The …
maintain environmental sustainability and reduce mortality risk due to health problems. The …
Prediction of developmental toxic effects of fine particulate matter (PM2. 5) water-soluble components via machine learning through observation of PM2. 5 from diverse …
Y Fan, N Sun, S Lv, H Jiang, Z Zhang, J Wang… - Science of The Total …, 2024 - Elsevier
The global health implications of fine particulate matter (PM 2.5) underscore the imperative
need for research into its toxicity and chemical composition. In this study, zebrafish embryos …
need for research into its toxicity and chemical composition. In this study, zebrafish embryos …
Improving PM2.5 prediction in New Delhi using a hybrid extreme learning machine coupled with snake optimization algorithm
Abstract Fine particulate matter (PM2. 5) is a significant air pollutant that drives the most
chronic health problems and premature mortality in big metropolitans such as Delhi. In such …
chronic health problems and premature mortality in big metropolitans such as Delhi. In such …
Investigate the effects of urban land use on PM2. 5 concentration: An application of deep learning simulation
L Zhao, M Zhang, S Cheng, Y Fang, S Wang… - Building and …, 2023 - Elsevier
As the fine particulate matter (PM 2.5) polluting seriously threat people's health, exploring its
mitigation strategies has become an urgent issue to be studied. Urban land use, the carrier …
mitigation strategies has become an urgent issue to be studied. Urban land use, the carrier …
An AQI decomposition ensemble model based on SSA-LSTM using improved AMSSA-VMD decomposition reconstruction technique
K Wang, X Fan, X Yang, Z Zhou - Environmental Research, 2023 - Elsevier
Air quality index (AQI) is a key index for monitoring air pollution and can be used as guide
for ensuring good public health. Accurate AQI prediction allows timely control and …
for ensuring good public health. Accurate AQI prediction allows timely control and …
Variation pattern, influential factors, and prediction models of PM2. 5 concentrations in typical urban functional zones of northeast China
This study investigated the spatial and temporal variations of PM2. 5 concentrations in
Harbin, China, under the influence of meteorological parameters and gaseous pollutants …
Harbin, China, under the influence of meteorological parameters and gaseous pollutants …
Improved prediction of hourly PM2. 5 concentrations with a long short-term memory and spatio-temporal causal convolutional network deep learning model
Y Chen, L Huang, X **e, Z Liu, J Hu - Science of The Total Environment, 2024 - Elsevier
Accurate prediction of particulate matter with aerodynamic diameter≤ 2.5 μm (PM 2.5) is
important for environmental management and human health protection. In recent years …
important for environmental management and human health protection. In recent years …