• openAccess   Graph Neural Network for Air Quality Prediction: A Case Study in Madrid 

      Iskandaryan, Ditsuhi; Ramos Romero, José Francisco; Trilles, Sergio 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 ...
    • closedAccess   Spatiotemporal Prediction of Nitrogen Dioxide Based on Graph Neural Networks 

      Iskandaryan, Ditsuhi; Ramos, Francisco; Trilles, Sergio 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 ...