Journal article 7 views
Deep Learning-Enabled Sparse Industrial Crowdsensing and Prediction
En Wang ,
Mijia Zhang ,
Cheng Cheng ,
Yongjian Yang ,
Wenbin Liu ,
Huaizhi Yu ,
Liang Wang ,
Jian Zhang
IEEE Transactions on Industrial Informatics, Volume: 17, Issue: 9, Pages: 6170 - 6181
Swansea University Author: Cheng Cheng
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DOI (Published version): 10.1109/tii.2020.3028616
Abstract
Deep Learning-Enabled Sparse Industrial Crowdsensing and Prediction
Published in: | IEEE Transactions on Industrial Informatics |
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ISSN: | 1551-3203 1941-0050 |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2021
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa67679 |
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College: |
Faculty of Science and Engineering |
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Funders: |
This work was
supported in part by the National Natural Science Foundations of China
under Grant 61772230 and Grant 61972450, in part by the National
Natural Science Foundations of China for Young Scholars under Grant
61702215, in part by the Natural Science Foundations of Jilin Province
under Grant 20190201022JC, in part by the National Science Key
Lab Fund Project under Grant 61421010418, in part by the Innovation
Capacity Building Project of Jilin Province Development and Reform
Commission under Grant 2020C017-2, and in part by the Changchun
Science and Technology Development Project under Grant 18DY005.
Paper no. TII-20-2138. (Corresponding author: Wenbin Liu.) |
Issue: |
9 |
Start Page: |
6170 |
End Page: |
6181 |