Fog computing enabled air quality monitoring and prediction leveraging deep learning in IoT.
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| Title: | Fog computing enabled air quality monitoring and prediction leveraging deep learning in IoT. |
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| Authors: | Bharathi, P. Divya1, Narayanan, V. Anantha1, v_ananthanarayanan@cb.amrita.edu, Sivakumar, P. Bagavathi1 |
| Source: | Journal of Intelligent & Fuzzy Systems; 2022, Vol. 43 Issue 5, p5621-5642, 22p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 159498632 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3233/JIFS-212713 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 5621 Titles: – TitleFull: Fog computing enabled air quality monitoring and prediction leveraging deep learning in IoT. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bharathi, P. Divya – PersonEntity: Name: NameFull: Narayanan, V. Anantha – PersonEntity: Name: NameFull: Sivakumar, P. Bagavathi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: 2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 10641246 Numbering: – Type: volume Value: 43 – Type: issue Value: 5 Titles: – TitleFull: Journal of Intelligent & Fuzzy Systems Type: main |
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