An efficient Covid-19 detection and severity analysis using optimized mask region-based convolution neural network.
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| Title: | An efficient Covid-19 detection and severity analysis using optimized mask region-based convolution neural network. |
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| Authors: | Prabakaran, G.1, tvgprabu@gmail.com, Jayanthi, K.2 |
| Source: | Journal of Intelligent & Fuzzy Systems; 2023, Vol. 45 Issue 6, p11679-11693, 15p |
| 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: 174544470 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An efficient Covid-19 detection and severity analysis using optimized mask region-based convolution neural network. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Prabakaran%2C+G%2E%22">Prabakaran, G.</searchLink><relatesTo>1</relatesTo>, <i>tvgprabu@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Jayanthi%2C+K%2E%22">Jayanthi, K.</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+%26+Fuzzy+Systems%22">Journal of Intelligent & Fuzzy Systems</searchLink>; 2023, Vol. 45 Issue 6, p11679-11693, 15p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=174544470 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3233/JIFS-230312 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 11679 Titles: – TitleFull: An efficient Covid-19 detection and severity analysis using optimized mask region-based convolution neural network. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Prabakaran, G. – PersonEntity: Name: NameFull: Jayanthi, K. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: 2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 10641246 Numbering: – Type: volume Value: 45 – Type: issue Value: 6 Titles: – TitleFull: Journal of Intelligent & Fuzzy Systems Type: main |
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