Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/29456
DC FieldValueLanguage
dc.contributor.authorKalajdjieski, Jovanen_US
dc.contributor.authorTrivodaliev, Kireen_US
dc.contributor.authorMirceva, Georginaen_US
dc.contributor.authorKalajdziski, Slobodanen_US
dc.contributor.authorGievska, Sonjaen_US
dc.date.accessioned2024-02-18T17:10:46Z-
dc.date.available2024-02-18T17:10:46Z-
dc.date.issued2023-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/29456-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofIEEE Accessen_US
dc.titleA Complete Air Pollution Monitoring and Prediction Frameworken_US
dc.typeJournal Articleen_US
dc.identifier.doi10.1109/access.2023.3251346-
dc.identifier.urlhttp://xplorestaging.ieee.org/ielx7/6287639/10005208/10057411.pdf?arnumber=10057411-
dc.identifier.volume11-
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles
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