Listar por autoría "a983088e-49ee-40fd-96fe-2129bf2bcad8"
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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 ... -
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 ...
