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 …
Autoregressive models in environmental forecasting time series: a theoretical and application review
Though globalization, industrialization, and urbanization have escalated the economic
growth of nations, these activities have played foul on the environment. Better understanding …
growth of nations, these activities have played foul on the environment. Better understanding …
Forecast methods for time series data: a survey
Z Liu, Z Zhu, J Gao, C Xu - Ieee Access, 2021 - ieeexplore.ieee.org
Research on forecasting methods of time series data has become one of the hot spots. More
and more time series data are produced in various fields. It provides data for the research of …
and more time series data are produced in various fields. It provides data for the research of …
Artificial intelligence technologies for forecasting air pollution and human health: a narrative review
Air pollution is a major issue all over the world because of its impacts on the environment
and human beings. The present review discussed the sources and impacts of pollutants on …
and human beings. The present review discussed the sources and impacts of pollutants on …
The forecasting of PM2. 5 using a hybrid model based on wavelet transform and an improved deep learning algorithm
W Qiao, W Tian, Y Tian, Q Yang, Y Wang… - IEEE Access, 2019 - ieeexplore.ieee.org
In recent years, the haze has caused serious troubles to people's lives, with the continuous
increase of PM2. 5 emissions. The accurate prediction of PM2. 5 is very crucial for policy …
increase of PM2. 5 emissions. The accurate prediction of PM2. 5 is very crucial for policy …
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 …
COVID-19 lockdowns and air quality: Evidence from grey spatiotemporal forecasts
This paper proposes a novel grey spatiotemporal model and quantitatively analyzes the
spillover and momentum effects of the COVID-19 lockdown policy on the concentration of …
spillover and momentum effects of the COVID-19 lockdown policy on the concentration of …
Research and application of an evolutionary deep learning model based on improved grey wolf optimization algorithm and DBN-ELM for AQI prediction
Y Li, T Peng, L Hua, C Ji, H Ma, MS Nazir… - Sustainable Cities and …, 2022 - Elsevier
Accurate forecast of air quality index (AQI) can provide reliable guarantee for air quality early
warning and safe production. In this paper, a hybrid model for predicting AQI is presented …
warning and safe production. In this paper, a hybrid model for predicting AQI is presented …
Investigation of nearby monitoring station for hourly PM2. 5 forecasting using parallel multi-input 1D-CNN-biLSTM
M Zhu, J Xie - Expert Systems with Applications, 2023 - Elsevier
Air quality forecasting is a hot research topic that has been widely explored by the whole
society. To better understand environmental quality, numerous methods have been …
society. To better understand environmental quality, numerous methods have been …
An optimal least square support vector machine based earnings prediction of blockchain financial products
The booming applications of bitcoin Blockchain technologies made investors concerned
about the return and risk of financial products. So, the return rate of bitcoin must be foreseen …
about the return and risk of financial products. So, the return rate of bitcoin must be foreseen …