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 …
the world dies from the adverse health effects of air pollution. In order to mitigate the effects …
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 …
understand it, find its patterns and correlations, and predict it in advance. Air pollution is …
Spatiotemporal prediction of O3 concentration based on the KNN-Prophet-LSTM model
B Zhang, C Song, Y Li, X Jiang - Heliyon, 2022 - cell.com
In this paper, a prediction method based on the KNN-Prophet-LSTM hybrid model is
established by using the daily pollutant concentration data of Wuhan from January 1, 2014 …
established by using the daily pollutant concentration data of Wuhan from January 1, 2014 …
Multi-Pollutant Ground-level Air Pollution Prediction through Deep MeteoGCN-ConvLSTM
Air pollution is the fourth-largest threat to human health. The harmful effects of air pollutants
have costed the global economy nearly 3trillion.Itisimperativethatasolutionformitigatingtheh …
have costed the global economy nearly 3trillion.Itisimperativethatasolutionformitigatingtheh …
Predicting Atmospheric Air Pollution: A Convolutional-Transformer Approach for Spatial and Temporal Analysis of PM2. 5
6.7 million premature deaths occur annually due to household and ambient air pollution. Air
pollution affects individuals globally and can be derived from a variety of factors including …
pollution affects individuals globally and can be derived from a variety of factors including …
Using Deep Learning for Spatial and Temporal Analysis of Wildfire Start and Progression
Wildfires pose a significant threat to ecosystems, public safety, and property, and
understanding the spatial and temporal patterns of their occurrence is of paramount …
understanding the spatial and temporal patterns of their occurrence is of paramount …