Air quality prediction using CT-LSTM
J Wang, J Li, X Wang, J Wang, M Huang - Neural Computing and …, 2021 - Springer
With the development of industry, air pollution has become a serious problem. It is very
important to create an air quality prediction model with high accuracy and good …
important to create an air quality prediction model with high accuracy and good …
Development of a PM2. 5 prediction model using a recurrent neural network algorithm for the Seoul metropolitan area, Republic of Korea
Abstract The National Institute of Environmental Research, the Ministry of Environment, has
been forecasting the concentrations of particulate matter (PM) with a diameter≤ 2.5 μm (PM …
been forecasting the concentrations of particulate matter (PM) with a diameter≤ 2.5 μm (PM …
Soft computing applications in air quality modeling: Past, present, and future
Air quality models simulate the atmospheric environment systems and provide increased
domain knowledge and reliable forecasting. They provide early warnings to the population …
domain knowledge and reliable forecasting. They provide early warnings to the population …
Meteorological pattern analysis assisted daily PM2. 5 grades prediction using SVM optimized by PSO algorithm
W Liu, G Guo, F Chen, Y Chen - Atmospheric Pollution Research, 2019 - Elsevier
Daily PM2. 5 level has significant influence on human health, which is attracting increasing
attention. The prediction of PM2. 5 grades has thus become an important factor closely …
attention. The prediction of PM2. 5 grades has thus become an important factor closely …
Estimation of the visibility in Seoul, South Korea, based on particulate matter and weather data, using machine-learning algorithm
BY Kim, JW Cha, KH Chang, C Lee - Aerosol and Air Quality Research, 2022 - aaqr.org
Visibility is an important indicator of air quality and of any consequent meteorological and
climate change. Therefore, visibility in Seoul, which is the most polluted city in South Korea …
climate change. Therefore, visibility in Seoul, which is the most polluted city in South Korea …
PM2.5 Forecast in Korea using the Long Short-Term Memory (LSTM) Model
Abstract The National Institute of Environmental Research, under the Ministry of
Environment of Korea, provides two-day forecasts, through AirKorea, of the concentration of …
Environment of Korea, provides two-day forecasts, through AirKorea, of the concentration of …
Untangling the contribution of input parameters to an artificial intelligence PM2. 5 forecast model using the layer-wise relevance propagation method
The recurrent neural network (RNN), an artificial intelligence algorithm, applied to the
predictions based on the Community Multiscale Air Quality operational model has …
predictions based on the Community Multiscale Air Quality operational model has …
Estimating PM10 Concentration from Drilling Operations in Open-Pit Mines Using an Assembly of SVR and PSO
Featured Application This study provided a new artificial intelligence system (ie, PSO-SVR)
to predict and control PM10 concentration induced by drilling operations in open-pit mines …
to predict and control PM10 concentration induced by drilling operations in open-pit mines …
Roles of meteorological factors in inter-regional variations of fine and coarse PM concentrations over the Republic of Korea
This study examined meteorological effects on airborne concentrations of particulate matter
(PM) of< 2.5 μm (PM 2.5) and 2.5–10 μm (PM 2.5–10) diameter in 16 regions of Korea …
(PM) of< 2.5 μm (PM 2.5) and 2.5–10 μm (PM 2.5–10) diameter in 16 regions of Korea …
Systematic bias of WRF-CMAQ PM10 simulations for Seoul, Korea
For evaluating the performance of the Korean operational air quality model (Weather
Research and Forecasting-Community Multiscale Air Quality), we compared the simulated …
Research and Forecasting-Community Multiscale Air Quality), we compared the simulated …