Design and development of counting-based visual question answering model using heuristic-based feature selection with deep learning.
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| Title: | Design and development of counting-based visual question answering model using heuristic-based feature selection with deep learning. |
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| Authors: | Welde, Tesfayee Meshu1, Liao, Lejian1, liaolj@bit.edu.cn |
| Source: | Artificial Intelligence Review; Aug2023, Vol. 56 Issue 8, p8859-8888, 30p |
| 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: 164580087 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Design and development of counting-based visual question answering model using heuristic-based feature selection with deep learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Welde%2C+Tesfayee+Meshu%22">Welde, Tesfayee Meshu</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Liao%2C+Lejian%22">Liao, Lejian</searchLink><relatesTo>1</relatesTo>, <i>liaolj@bit.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+Review%22">Artificial Intelligence Review</searchLink>; Aug2023, Vol. 56 Issue 8, p8859-8888, 30p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=164580087 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10462-022-10385-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 30 StartPage: 8859 Titles: – TitleFull: Design and development of counting-based visual question answering model using heuristic-based feature selection with deep learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Welde, Tesfayee Meshu – PersonEntity: Name: NameFull: Liao, Lejian IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 02692821 Numbering: – Type: volume Value: 56 – Type: issue Value: 8 Titles: – TitleFull: Artificial Intelligence Review Type: main |
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