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 …
[HTML][HTML] Artificial neural network an innovative approach in air pollutant prediction for environmental applications: A review
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 …
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 …
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
Abstract South Asian megacities, notably Delhi, are significant contributors to air pollution,
driven by factors such as population density, vehicular emissions, and industry, posing …
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 …
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
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 …
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 …
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 …
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
Air pollution is a major global concern, leading to serious health problems and
environmental damage. This article provides a comprehensive review of historical 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 …
standards that should be met by biojet fuel produced from microalgae biomass are …