RESEARCH ON PREDICTING THE IMPACT OF URBAN EXPANSION ON LOW-CARBON ECOLOGICAL ZONES USING DEEP LEARNING MODELS.
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| Title: | RESEARCH ON PREDICTING THE IMPACT OF URBAN EXPANSION ON LOW-CARBON ECOLOGICAL ZONES USING DEEP LEARNING MODELS. |
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| Authors: | DAI, X. L.1, CHEN, D. J.1 AllenGriffin3580@outlook.com |
| Source: | Applied Ecology & Environmental Research. 2026, Vol. 24 Issue 3, p3891-3911. 21p. |
| Database: | Environment Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: eih DbLabel: Environment Complete An: 194538498 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: RESEARCH ON PREDICTING THE IMPACT OF URBAN EXPANSION ON LOW-CARBON ECOLOGICAL ZONES USING DEEP LEARNING MODELS. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22DAI%2C+X%2E+L%2E%22">DAI, X. L.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22CHEN%2C+D%2E+J%2E%22">CHEN, D. J.</searchLink><relatesTo>1</relatesTo><i> AllenGriffin3580@outlook.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Ecology+%26+Environmental+Research%22">Applied Ecology & Environmental Research</searchLink>. 2026, Vol. 24 Issue 3, p3891-3911. 21p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=194538498 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.15666/aeer/2403_38913911 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 3891 Titles: – TitleFull: RESEARCH ON PREDICTING THE IMPACT OF URBAN EXPANSION ON LOW-CARBON ECOLOGICAL ZONES USING DEEP LEARNING MODELS. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: DAI, X. L. – PersonEntity: Name: NameFull: CHEN, D. J. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 15891623 Numbering: – Type: volume Value: 24 – Type: issue Value: 3 Titles: – TitleFull: Applied Ecology & Environmental Research Type: main |
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