Application of complete ensemble empirical mode decomposition based multi-stream informer (CEEMD-MsI) in PM2. 5 concentration long-term prediction
Nowadays, air pollution has become one of the most serious environmental problems facing
humanity and an inescapable obstacle limiting the sustainable development of cities and …
humanity and an inescapable obstacle limiting the sustainable development of cities and …
Integration of complete ensemble empirical mode decomposition with deep long short-term memory model for particulate matter concentration prediction
The atmospheric particulate matter (PM) with a diameter of 2.5 μm or less (PM2. 5) is one of
the key indicators of air pollutants. Accurate prediction of PM2. 5 concentration is very …
the key indicators of air pollutants. Accurate prediction of PM2. 5 concentration is very …
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 …
Multi-source variational mode transfer learning for enhanced PM2. 5 concentration forecasting at data-limited monitoring stations
B Yao, G Ling, F Liu, MF Ge - Expert Systems with Applications, 2024 - Elsevier
Hybrid methods combining data decomposition with deep learning have recently exhibited
remarkable performance in PM2. 5 concentration forecasting. However, these methods still …
remarkable performance in PM2. 5 concentration forecasting. However, these methods still …
Extraction of multi-scale features enhances the deep learning-based daily PM2. 5 forecasting in cities
Characterising the daily PM2. 5 concentration is crucial for air quality control. To govern the
status of the atmospheric environment, a novel hybrid model for PM2. 5 forecasting was …
status of the atmospheric environment, a novel hybrid model for PM2. 5 forecasting was …
A hybrid model for PM2. 5 forecasting based on ensemble empirical mode decomposition and a general regression neural network
Exposure to high concentrations of fine particulate matter (PM 2.5) can cause serious health
problems because PM 2.5 contains microscopic solid or liquid droplets that are sufficiently …
problems because PM 2.5 contains microscopic solid or liquid droplets that are sufficiently …
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 …
Long-term PM2. 5 concentration prediction based on improved empirical mode decomposition and deep neural network combined with noise reduction auto-encoder …
M Teng, S Li, J Yang, S Wang, C Fan, Y Ding… - Journal of Cleaner …, 2023 - Elsevier
Effective prediction of PM 2.5 long-term concentration can help reduce exposure risks, but
few current studies based on machine learning have been able to credibly predict …
few current studies based on machine learning have been able to credibly predict …
[HTML][HTML] A Short-Term Prediction Model of PM2.5 Concentration Based on Deep Learning and Mode Decomposition Methods
J Wei, F Yang, XC Ren, S Zou - Applied Sciences, 2021 - mdpi.com
Based on a set of deep learning and mode decomposition methods, a short-term prediction
model for PM2. 5 concentration for Beijing city is established in this paper. An ensemble …
model for PM2. 5 concentration for Beijing city is established in this paper. An ensemble …
Application of decomposition-ensemble learning paradigm with phase space reconstruction for day-ahead PM2. 5 concentration forecasting
PM 2.5 concentration have received considerable attention from meteorologists, who are
able to notify the public and take precautionary measures to prevent negative effects on …
able to notify the public and take precautionary measures to prevent negative effects on …
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