Air Quality Prediction Based on Graph Attention Network-Reference-Cited by-同舟云学术

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Air Quality Prediction Based on Graph Attention Network

Published:2023-05-12 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI)
language:
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Author:

Deng Chuhan¹,Liu Lanyu²,Wang Chao²,Chen Zhuo³

Affiliation:

1. Chongqing University of Technology,College of Artificial Intelligence,Chongqing,China

2. Chongqing Ecological Environment Monitoring Center,Chongqing,China

3. Chongqing University of Technology,College of Computer Science and Engineering,Chongqing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10176328/10176396/10176911.pdf?arnumber=10176911

Reference25 articles.

1. Air Quality Prediction using Machine Learning Algorithms –A Review

2. Graph Attention Networks;velikovi,2017

3. Analyzing Correlation Between Air and Noise Pollution with Influence on Air Quality Prediction;ghosh;2018 IEEE International Conference on Data Mining Workshops (ICDMW),2018

4. Prediction of air quality based on Gradient Boosting Machine Method

5. Air Quality Prediction Model Based on Spatio-temporal Graph Convolution Neural Networks

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