This paper describes federated learning paradigm approach for air pollution prediction model training on environmental monitoring sensor data. In the research, ...
Nguyen et al. [34] , for instance, developed a framework that hinges on spatial averaging aggregation. Applied specifically to air pollution prediction, this ...
This research summaries a federated learning approach to air pollution prediction in smart city applications and presents empirical studies on environmental IoT ...
This paper describes federated learning paradigm approach for air pollution prediction model training on environmental monitoring sensor data. In the research, ...
Spatially-distributed Federated Learning of Regional AQI Pollution Prediction System. ... Figure 1. Air quality prediction using Convolutional Recurrent Neural...
People also ask
What are the machine learning algorithms for air pollution prediction?
What is a neural network for air quality?
Spatially-distributed federated learning of convolutional recurrent neural networks for air pollution prediction. DV Nguyen, K Zettsu. 2021 IEEE International ...
Nguyen, D.V., Zettsu, K.: Spatially-distributed Federated Learning of Convolutional Recurrent Neural Networks for Air Pollution Prediction, IEEE ...
A multi-modal approach for spatio-temporal air quality prediction that learns the multimodal fusion of critical factors to predict future air quality levels ...
Spatially-distributed Federated Learning of Convolutional Recurrent Neural Networks for Air Pollution Prediction. IEEE BigData 2021: 3601-3608. [c14]. view.
Feb 22, 2024 · Therefore, this study designed two functional components to extract spatio-temporal dependencies and time features for air quality prediction.