Machine learning models for mathematical symbol recognition: A stem to stern literature analysis.
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| Title: | Machine learning models for mathematical symbol recognition: A stem to stern literature analysis. |
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| Authors: | Kukreja, Vinay1, Sakshi1, asakshi541@gmail.com |
| Source: | Multimedia Tools & Applications; Aug2022, Vol. 81 Issue 20, p28651-28687, 37p |
| 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: 158139381 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Machine learning models for mathematical symbol recognition: A stem to stern literature analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Kukreja%2C+Vinay%22">Kukreja, Vinay</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Sakshi%22">Sakshi</searchLink><relatesTo>1</relatesTo>, <i>asakshi541@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; Aug2022, Vol. 81 Issue 20, p28651-28687, 37p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=158139381 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-022-12644-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 37 StartPage: 28651 Titles: – TitleFull: Machine learning models for mathematical symbol recognition: A stem to stern literature analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kukreja, Vinay – PersonEntity: Name: NameFull: Sakshi IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 08 Text: Aug2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 81 – Type: issue Value: 20 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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