Popnet: computer vision based deep learning model for forecasting gridded population.
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| Title: | Popnet: computer vision based deep learning model for forecasting gridded population. |
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| Authors: | Jeong, Byeonghwa1 (AUTHOR), Lee, Bo Kyeong2 (AUTHOR) bklee@krihs.re.kr |
| Source: | International Journal of Geographical Information Science. Jan2026, Vol. 40 Issue 1, p217-236. 20p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 190688059 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Popnet: computer vision based deep learning model for forecasting gridded population. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jeong%2C+Byeonghwa%22">Jeong, Byeonghwa</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lee%2C+Bo+Kyeong%22">Lee, Bo Kyeong</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> bklee@krihs.re.kr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Geographical+Information+Science%22">International Journal of Geographical Information Science</searchLink>. Jan2026, Vol. 40 Issue 1, p217-236. 20p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=190688059 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/13658816.2025.2514792 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 217 Titles: – TitleFull: Popnet: computer vision based deep learning model for forecasting gridded population. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jeong, Byeonghwa – PersonEntity: Name: NameFull: Lee, Bo Kyeong IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 13658816 Numbering: – Type: volume Value: 40 – Type: issue Value: 1 Titles: – TitleFull: International Journal of Geographical Information Science Type: main |
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