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 …

[HTML][HTML] Artificial neural network an innovative approach in air pollutant prediction for environmental applications: A review

V Yadav, AK Yadav, V Singh, T Singh - Results in Engineering, 2024 - Elsevier
Air pollution in the environment is growing daily as a result of urbanization and population
growth, which causes numerous health issues. Information about air quality and …

[HTML][HTML] Surveillance-image-based outdoor air quality monitoring

X Wang, M Wang, X Liu, Y Mao, Y Chen… - Environmental Science and …, 2024 - Elsevier
Air pollution threatens human health, necessitating effective and convenient air quality
monitoring. Recently, there has been a growing interest in using camera images for air …

An ensemble deep learning approach for air quality estimation in Delhi, India

AS Mohan, L Abraham - Earth Science Informatics, 2024 - Springer
Abstract South Asian megacities, notably Delhi, are significant contributors to air pollution,
driven by factors such as population density, vehicular emissions, and industry, posing …

A Hybrid Model for Spatiotemporal Air Quality Prediction Based on Interpretable Neural Networks and a Graph Neural Network

H Ding, G Noh - Atmosphere, 2023 - mdpi.com
To effectively address air pollution and enhance air quality, governments must be able to
predict the air quality index with high accuracy and reliability. However, air quality prediction …

Forecasting daily PM2. 5 concentrations in Wuhan with a spatial-autocorrelation-based long short-term memory model

Z Liu, C Ge, K Zheng, S Bao, Y Cui, Y Yuan… - Atmospheric …, 2024 - Elsevier
Accurate daily air pollution forecasts play a pivotal role in enabling government to implement
timely emergency responses and hel** alert individuals sensitive to air pollution to take …

Particulate Matter 2.5 concentration prediction system based on uncertainty analysis and multi-model integration

Y Chen, J Wang, R Li, J Li - Science of The Total Environment, 2025 - Elsevier
Air pollution has become a major threat to global public health. Therefore, in order to reduce
the harm caused by air pollution, effectively protect people's well-being and promote the …

[HTML][HTML] Time-Series Forecasting of PM2.5 and PM10 Concentrations Based on the Integration of Surveillance Images

Y Wu, X Wang, M Wang, X Liu, S Zhu - Sensors, 2024 - mdpi.com
Accurate and timely air quality forecasting is crucial for mitigating pollution-related hazards
and protecting public health. Recently, there has been a growing interest in integrating …

Advances in Air Quality Monitoring: A Comprehensive Review of Algorithms for Imaging and Sensing Technologies

M Elbestar, SG Aly, R Ghannam - Advanced Sensor Research, 2024 - Wiley Online Library
Air pollution is a major global concern, leading to serious health problems and
environmental damage. This article provides a comprehensive review of historical and …

Use of Microalgae Biomass to Synthesize Marketable Products. Part 5: Production of Jet Fuel from Microalgae Biomass

YV Samoylova, KN Sorokina, VN Parmon - Catalysis in Industry, 2024 - Springer
The review discusses the production of jet fuel from microalgae biomass. The modern
standards that should be met by biojet fuel produced from microalgae biomass are …