Application of machine learning algorithms in municipal solid waste management: A mini review
W Xia, Y Jiang, X Chen, R Zhao - Waste Management & …, 2022 - journals.sagepub.com
Population growth and the acceleration of urbanization have led to a sharp increase in
municipal solid waste production, and researchers have sought to use advanced technology …
municipal solid waste production, and researchers have sought to use advanced technology …
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 …
Effective air quality prediction using reinforced swarm optimization and bi-directional gated recurrent unit
S Gurumoorthy, AK Kokku, P Falkowski-Gilski… - Sustainability, 2023 - mdpi.com
In the present scenario, air quality prediction (AQP) is a complex task due to high variability,
volatility, and dynamic nature in space and time of particulates and pollutants. Recently …
volatility, and dynamic nature in space and time of particulates and pollutants. Recently …
A multi-scale evolutionary deep learning model based on CEEMDAN, improved whale optimization algorithm, regularized extreme learning machine and LSTM for …
C Ji, C Zhang, L Hua, H Ma, MS Nazir, T Peng - Environmental research, 2022 - Elsevier
With the rapid development of economy, air pollution occurs frequently, which has a huge
negative impact on human health and urban ecosystem. Air quality index (AQI) can directly …
negative impact on human health and urban ecosystem. Air quality index (AQI) can directly …
[HTML][HTML] Air Quality Index prediction using machine learning for Ahmedabad city
NN Maltare, S Vahora - Digital Chemical Engineering, 2023 - Elsevier
Prediction of air pollution index may help in traffic routing and identifying serious pollutants.
Modeling of the complex relationships between these variables by sophisticated methods in …
Modeling of the complex relationships between these variables by sophisticated methods in …
[HTML][HTML] Multi-step forecast of PM2. 5 and PM10 concentrations using convolutional neural network integrated with spatial–temporal attention and residual learning
Accurate and reliable forecasting of PM 2.5 and PM 10 concentrations is important to the
public to reasonably avoid air pollution and for the governmental policy responses …
public to reasonably avoid air pollution and for the governmental policy responses …
Spatio-temporal air quality analysis and PM2. 5 prediction over Hyderabad City, India using artificial intelligence techniques
Air pollution is one of the most serious environmental issues faced by humans, and it affects
the quality of life in cities. PM 2.5 forecasting models can be used to create strategies for …
the quality of life in cities. PM 2.5 forecasting models can be used to create strategies for …
Data association in multiple object tracking: A survey of recent techniques
L Rakai, H Song, SJ Sun, W Zhang, Y Yang - Expert systems with …, 2022 - Elsevier
The advances of Visual object tracking tasks in computer vision have enabled a growing
value in its application to video surveillance, particularly in a traffic scenario. In recent years …
value in its application to video surveillance, particularly in a traffic scenario. In recent years …
Asian stock markets closing index forecast based on secondary decomposition, multi-factor analysis and attention-based LSTM model
J Wang, Q Cui, X Sun, M He - Engineering Applications of Artificial …, 2022 - Elsevier
The analysis and prediction of stock markets in Asian is an important issue which can help to
promote the integration and globalization of financial cooperation. However, owning to the …
promote the integration and globalization of financial cooperation. However, owning to the …
A hybrid deep learning technology for PM2.5 air quality forecasting
Z Zhang, Y Zeng, K Yan - Environmental Science and Pollution Research, 2021 - Springer
The concentration of PM 2.5 is one of the main factors in evaluating the air quality in
environmental science. The severe level of PM 2.5 directly affects the public health …
environmental science. The severe level of PM 2.5 directly affects the public health …