Predicting PM2. 5 atmospheric air pollution using deep learning with meteorological data and ground-based observations and remote-sensing satellite big data

P Muthukumar, E Cocom, K Nagrecha, D Comer… - Air Quality, Atmosphere …, 2021 - Springer
Air pollution is one of the world's leading factors for early deaths. Every 5 s, someone around
the world dies from the adverse health effects of air pollution. In order to mitigate the effects …

Applications of remote sensing vis-à-vis machine learning in air quality monitoring and modelling: a review

FT Bahadur, SR Shah, RR Nidamanuri - Environmental Monitoring and …, 2023 - Springer
Environmental contamination especially air pollution is an exponentially growing menace
requiring immediate attention, as it lingers on with the associated risks of health, economic …

PM2. 5 air pollution prediction through deep learning using multisource meteorological, wildfire, and heat data

P Muthukumar, K Nagrecha, D Comer, CF Calvert… - Atmosphere, 2022 - mdpi.com
Air pollution is a lethal global threat. To mitigate the effects of air pollution, we must first
understand it, find its patterns and correlations, and predict it in advance. Air pollution is …

GCN-ST-MDIR: Graph convolutional network-based spatial-temporal missing air pollution data pattern identification and recovery

Y Yu, VOK Li, JCK Lam, K Chan - IEEE Transactions on Big …, 2023 - ieeexplore.ieee.org
Missing data pattern identification and recovery (MDIR) is vital for accurate air pollution
monitoring. To recover the missing air pollution data, GCN-ST-MDIR, a Graph Convolutional …

[PDF][PDF] The Future of Imaging Technology

K Kheiralipour - 2024 - researchgate.net
Imaging is a nondestructive technology with high speed, accuracy, reliability, repeatability,
and low cost and complexity that is widely used in different sectors. The technology receives …

[PDF][PDF] Satellite-based Drought Forecasting: Research Trends, Challenges, and Future Directions

B Son, J Im, S Park, J Lee - Korean Journal of Remote Sensing, 2021 - researchgate.net
Drought forecasting is crucial to minimize the damage to food security and water resources
caused by drought. Satellite-based drought research has been conducted since 1980s …

Multi-Pollutant Ground-level Air Pollution Prediction through Deep MeteoGCN-ConvLSTM

P Muthukumar, S Pathak, K Nagrecha… - 2022 International …, 2022 - ieeexplore.ieee.org
Air pollution is the fourth-largest threat to human health. The harmful effects of air pollutants
have costed the global economy nearly 3trillion.Itisimperativethatasolutionformitigatingtheh …

Spatiotemporal Analysis of Health Data using Graph Convolutional Networks in the Cloud

A Shukla, HS Pokhariya, J Michaelson… - … for Innovations in …, 2023 - ieeexplore.ieee.org
This study combines cloud computing infrastructure with graph convolutional networks
(GCNs) to come up with a unique method for analyzing spatiotemporal health data. Based …

Predicting and Navigating Environmental Transformations using Machine Learning

L Kumar, A Archana, K Nath - Procedia Computer Science, 2024 - Elsevier
In today's world, as ecological challenges continue to rise, the importance of environmental
monitoring and conservation cannot be overstated. These efforts play a vital role in …

Air-Quality Index Prediction Using Auto Ml Library, TPOT

R Saxena, K Jindal, N Malik… - 2023 14th International …, 2023 - ieeexplore.ieee.org
Air pollution nowadays is one of the most important causes of severe diseases. Early
analysis of air pollution helps us control pollution levels and keep human health at utmost …