Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/14853
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kalajdjieski, Jovan | en_US |
dc.contributor.author | Mirceva, Georgina | en_US |
dc.contributor.author | Kalajdziski, Slobodan | en_US |
dc.date.accessioned | 2021-09-23T09:21:30Z | - |
dc.date.available | 2021-09-23T09:21:30Z | - |
dc.date.issued | 2020-12 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12188/14853 | - |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.title | Attention Models for PM2.5 Prediction | en_US |
dc.type | Proceeding article | en_US |
dc.relation.conference | 2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) | en_US |
dc.identifier.doi | 10.1109/bdcat50828.2020.00010 | - |
dc.identifier.url | http://xplorestaging.ieee.org/ielx7/9302521/9302528/09302549.pdf?arnumber=9302549 | - |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
crisitem.author.dept | Faculty of Computer Science and Engineering | - |
crisitem.author.dept | Faculty of Computer Science and Engineering | - |
Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
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