ListarInstitute of New Imaging Technologies (INIT) por tema "nitrogen dioxide prediction"
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A set of deep learning algorithms for air quality prediction applications
Elsevier (2023)This paper presents a set of machine learning algorithms, including grid-based (Bidirectional Convolutional Long Short-Term Memory) and graph-based (Attention Temporal Graph Convolutional Network) algorithms to predict air ... -
Graph Neural Network for Air Quality Prediction: A Case Study in Madrid
IEEE (2023)Air quality monitoring, modelling and forecasting are considered pressing and challenging topics for citizens and decision-makers, including the government. The tools used to achieve the above goals vary depending on the ... -
Reconstructing Secondary Data based on Air Quality, Meteorological and Traffic Data Considering Spatiotemporal Components
Elsevier (2023-02-08)This paper introduces the reconstructed dataset along with procedures to implement air quality prediction, which consists of air quality, meteorological and traffic data over time, and their monitoring stations and measurement ... -
Spatiotemporal Prediction of Nitrogen Dioxide Based on Graph Neural Networks
Springer (2022-11-10)Air quality prediction, especially spatiotemporal prediction, is still a challenging issue. Considering the impact of numerous factors on air quality causes difficulties in integrating these factors in a spatiotemporal ...