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Air Pollution Prediction

4 papers with code · Miscellaneous

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Real-time Air Pollution prediction model based on Spatiotemporal Big data

5 Apr 2018vanduc103/air_analysis_v1

In this paper, based on this spatiotemporal Big data, we propose a real-time air pollution prediction model based on Convolutional Neural Network (CNN) algorithm for image-like Spatial distribution of air pollution.

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Multi-task Learning for Aggregated Data using Gaussian Processes

NeurIPS 2019 frb-yousefi/aggregated-multitask-gp

Our model represents each task as the linear combination of the realizations of latent processes that are integrated at a different scale per task.

AIR POLLUTION PREDICTION EPIDEMIOLOGY GAUSSIAN PROCESSES MULTI-TASK LEARNING

Multi-task Learning for Aggregated Data using Gaussian Processes

NeurIPS 2019 frb-yousefi/aggregated-multitask-gp

Our model represents each task as the linear combination of the realizations of latent processes that are integrated at a different scale per task.

AIR POLLUTION PREDICTION EPIDEMIOLOGY GAUSSIAN PROCESSES MULTI-TASK LEARNING

MSSTN: Multi-Scale Spatial Temporal Network for Air Pollution Prediction

2019 IEEE International Conference on Big Data (Big Data) 2019 Zhiyuan-Wu/MSSTN

We further present a novel deep convolutional neural network model, named Multi-Scale Spatial Temporal Network (MSSTN), for the learning task on this data structure.

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