Deep learning for air pollutant concentration prediction: A review

B Zhang, Y Rong, R Yong, D Qin, M Li, G Zou… - Atmospheric …, 2022 - Elsevier
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 …

Autoregressive models in environmental forecasting time series: a theoretical and application review

J Kaur, KS Parmar, S Singh - Environmental Science and Pollution …, 2023 - Springer
Though globalization, industrialization, and urbanization have escalated the economic
growth of nations, these activities have played foul on the environment. Better understanding …

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 …

Machine learning algorithms to forecast air quality: a survey

M Méndez, MG Merayo, M Núñez - Artificial Intelligence Review, 2023 - Springer
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 …

Variational bayesian network with information interpretability filtering for air quality forecasting

XB Jin, ZY Wang, WT Gong, JL Kong, YT Bai, TL Su… - Mathematics, 2023 - mdpi.com
Air quality plays a vital role in people's health, and air quality forecasting can assist in
decision making for government planning and sustainable development. In contrast, it is …

Air quality index prediction using an effective hybrid deep learning model

N Sarkar, R Gupta, PK Keserwani, MC Govil - Environmental Pollution, 2022 - Elsevier
Environmentalism has become an intrinsic part of everyday life. One of the greatest
challenge to the environment's long-term existence is the air pollution. Delhi, the capital of …

Multi-output support vector machine for regional multi-step-ahead PM2. 5 forecasting

Y Zhou, FJ Chang, LC Chang, IF Kao, YS Wang… - Science of the Total …, 2019 - Elsevier
Air quality deteriorates fast under urbanization in recent decades. Reliable and precise
regional multi-step-ahead PM 2.5 forecasts are crucial and beneficial for mitigating health …

Ozone concentration forecasting based on artificial intelligence techniques: a systematic review

A Yafouz, AN Ahmed, N Zaini, A El-Shafie - Water, Air, & Soil Pollution, 2021 - Springer
The prediction of tropospheric ozone concentrations is vital due to ozone's passive impacts
on atmosphere, people's health, flora and fauna. However, ozone prediction is a complex …

PRAISE-HK: A personalized real-time air quality informatics system for citizen participation in exposure and health risk management

W Che, HC Frey, JCH Fung, Z Ning, H Qu… - Sustainable Cities and …, 2020 - Elsevier
Exposure to air pollutants causes a range of adverse health effects. These harmful effects
occur whenever and wherever people come into direct contact with air pollution. Therefore …

[HTML][HTML] Low-cost nature-inspired deep learning system for PM2. 5 forecast over Delhi, India

D Pruthi, Y Liu - Environment International, 2022 - Elsevier
Air quality has a tremendous impact on India's health and prosperity. Air quality models are
crucial tools for surveying and projecting air pollution episodes, which can be used to issue …