Forecasting Fine-Grained Air Quality for Locations without Monitoring Stations Based on a Hybrid Predictor with Spatial-Temporal Attention Based Network.

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Bibliographic Details
Title: Forecasting Fine-Grained Air Quality for Locations without Monitoring Stations Based on a Hybrid Predictor with Spatial-Temporal Attention Based Network.
Authors: Hsieh, Hsun-Ping1,2, hphsieh@mail.ncku.edu.twn26100650@gs.ncku.edu.twq36084303@gs.ncku.edu.tw, Wu, Su1, Ko, Ching-Chung3,4,5, kocc0729@gmail.com, Shei, Chris6, c-c.shei@swansea.ac.uk, Yao, Zheng-Ting2, Chen, Yu-Wen7, kuluychen@citi.sinica.edu.tw
Source: Applied Sciences (2076-3417); May2022, Vol. 12 Issue 9, pN.PAG-N.PAG, 17p
Database: Applied Science & Technology Source
Description
ISSN:20763417
DOI:10.3390/app12094268