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 …
[HTML][HTML] Machine learning algorithms to forecast air quality: a survey
Air pollution is a risk factor for many diseases that can lead to death. Therefore, it is
important to develop forecasting mechanisms that can be used by the authorities, so that …
important to develop forecasting mechanisms that can be used by the authorities, so that …
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 …
Memristor-based neural network circuit of emotion congruent memory with mental fatigue and emotion inhibition
J Sun, J Han, Y Wang, P Liu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Most memristor-based neural networks only consider a single mode of memory or emotion,
but ignore the relationship between emotion and memory. In this paper, a memristor-based …
but ignore the relationship between emotion and memory. In this paper, a memristor-based …
[HTML][HTML] Prediction of Monthly PM2.5 Concentration in Liaocheng in China Employing Artificial Neural Network
Z He, Q Guo, Z Wang, X Li - Atmosphere, 2022 - mdpi.com
Fine particulate matter (PM2. 5) affects climate change and human health. Therefore, the
prediction of PM2. 5 level is particularly important for regulatory planning. The main …
prediction of PM2. 5 level is particularly important for regulatory planning. The main …
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 …
A new ensemble spatio-temporal PM2. 5 prediction method based on graph attention recursive networks and reinforcement learning
Inhalable particulate matter with a diameter of less than 2.5 μm spatio-temporal prediction
technology is an important tool for environmental governance in urban traffic congestion …
technology is an important tool for environmental governance in urban traffic congestion …
[HTML][HTML] Forecasting hourly PM2. 5 concentrations based on decomposition-ensemble-reconstruction framework incorporating deep learning algorithms
P Cai, C Zhang, J Chai - Data Science and Management, 2023 - Elsevier
Accurate predictions of hourly PM 2.5 concentrations are crucial for preventing the harmful
effects of air pollution. In this study, a new decomposition-ensemble framework incorporating …
effects of air pollution. In this study, a new decomposition-ensemble framework incorporating …
A novel air pollution forecasting, health effects, and economic cost assessment system for environmental management: From a new perspective of the district-level
Air pollution prediction and damage assessment are important in environmental
management. However, existing research focuses more on the short-term prediction and …
management. However, existing research focuses more on the short-term prediction and …
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 …