Artificial intelligence technologies for forecasting air pollution and human health: a narrative review

S Subramaniam, N Raju, A Ganesan, N Rajavel… - Sustainability, 2022 - mdpi.com
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 …

Predicting the quality of air with machine learning approaches: Current research priorities and future perspectives

K Mehmood, Y Bao, W Cheng, MA Khan… - Journal of Cleaner …, 2022 - Elsevier
The spiraling growth of the world's population and unregulated urbanization have resulted in
many environmental problems, including poor quality of air, which is associated with a wide …

Deep spatio-temporal graph network with self-optimization for air quality prediction

XB Jin, ZY Wang, JL Kong, YT Bai, TL Su, HJ Ma… - Entropy, 2023 - mdpi.com
The environment and development are major issues of general concern. After much
suffering from the harm of environmental pollution, human beings began to pay attention to …

Multivariate Time-Series Forecasting: A Review of Deep Learning Methods in Internet of Things Applications to Smart Cities

V Papastefanopoulos, P Linardatos… - Smart Cities, 2023 - mdpi.com
Smart cities are urban areas that utilize digital solutions to enhance the efficiency of
conventional networks and services for sustainable growth, optimized resource …

Spatiotemporal air pollution forecasting in houston-TX: a case study for ozone using deep graph neural networks

V Oliveira Santos, PA Costa Rocha, J Scott… - Atmosphere, 2023 - mdpi.com
The presence of pollutants in our atmosphere has become one of humanity's greatest
challenges. These pollutants, produced primarily by burning fossil fuels, are detrimental to …

水电机组复杂工况振动信号多尺度清洗

刘燚, 刘伟, 时有松, 周建中, 张勇传 - 水力发电学报, 2022 - slfdxb.cn
水电机组振动监测信号常包含大量异常数据, 严重影响机组健康状态评估与预测. 为此,
本文深入研究机组振动与工况的映射关系, 提出了一种基于高斯混合模型和基于密度的噪点空间 …

[HTML][HTML] A systematic survey of air quality prediction based on deep learning

Z Zhang, S Zhang, C Chen, J Yuan - Alexandria Engineering Journal, 2024 - Elsevier
The impact of air pollution on public health is substantial, and accurate long-term predictions
of air quality are crucial for early warning systems to address this issue. Air quality prediction …

Computational deep air quality prediction techniques: a systematic review

M Kaur, D Singh, MY Jabarulla, V Kumar… - Artificial Intelligence …, 2023 - Springer
The escalating population and rapid industrialization have led to a significant rise in
environmental pollution, particularly air pollution. This has detrimental effects on both the …

A novel approach for the prediction and analysis of daily concentrations of particulate matter using machine learning

B Panneerselvam, N Ravichandran, UC Dumka… - Science of the Total …, 2023 - Elsevier
Traditional air quality analysis and prediction methods depend on the statistical and
numerical analyses of historical air quality data with more information related to a specific …

Air quality prediction model based on mRMR–RF feature selection and ISSA–LSTM

H Wu, T Yang, H Li, Z Zhou - Scientific Reports, 2023 - nature.com
Severe air pollution poses a significant threat to public safety and human health. Predicting
future air quality conditions is crucial for implementing pollution control measures and …