Hybrid CNN-GNN architectures with distributed training for heathland plant classification.
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| Title: | Hybrid CNN-GNN architectures with distributed training for heathland plant classification. |
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| Authors: | Olouladé BM; Department of Ecoscience, Aarhus University, C.F. Møllers Alle, Aarhus, 8000, Denmark., Bak JL; Department of Ecoscience, Aarhus University, C.F. Møllers Alle, Aarhus, 8000, Denmark., Sørensen PB; Department of Ecoscience, Aarhus University, C.F. Møllers Alle, Aarhus, 8000, Denmark., Yu H; School of Sciences, Engineering and Environment, University of Salford, 43 Crescent, Salford, M5 4WT, UK., Damgaard C; Department of Ecoscience, Aarhus University, C.F. Møllers Alle, Aarhus, 8000, Denmark. cfd@ecos.au.dk. |
| Source: | Environmental monitoring and assessment [Environ Monit Assess] 2026 Jun 06; Vol. 198 (7). Date of Electronic Publication: 2026 Jun 06. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2959 (Electronic) Linking ISSN: 01676369 NLM ISO Abbreviation: Environ Monit Assess Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42249215 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Hybrid CNN-GNN architectures with distributed training for heathland plant classification. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Olouladé+BM%22">Olouladé BM</searchLink>; Department of Ecoscience, Aarhus University, C.F. Møllers Alle, Aarhus, 8000, Denmark.<br /><searchLink fieldCode="AU" term="%22Bak+JL%22">Bak JL</searchLink>; Department of Ecoscience, Aarhus University, C.F. Møllers Alle, Aarhus, 8000, Denmark.<br /><searchLink fieldCode="AU" term="%22Sørensen+PB%22">Sørensen PB</searchLink>; Department of Ecoscience, Aarhus University, C.F. Møllers Alle, Aarhus, 8000, Denmark.<br /><searchLink fieldCode="AU" term="%22Yu+H%22">Yu H</searchLink>; School of Sciences, Engineering and Environment, University of Salford, 43 Crescent, Salford, M5 4WT, UK.<br /><searchLink fieldCode="AU" term="%22Damgaard+C%22">Damgaard C</searchLink>; Department of Ecoscience, Aarhus University, C.F. Møllers Alle, Aarhus, 8000, Denmark. cfd@ecos.au.dk. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228508350%22">Environmental monitoring and assessment</searchLink> [Environ Monit Assess] 2026 Jun 06; Vol. 198 (7). <i>Date of Electronic Publication: </i>2026 Jun 06. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>8508350 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1573-2959 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201676369%22">01676369 </searchLink><i>NLM ISO Abbreviation: </i>Environ Monit Assess <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42249215 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10661-026-15190-8 Languages: – Code: eng Text: English Titles: – TitleFull: Hybrid CNN-GNN architectures with distributed training for heathland plant classification. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Olouladé BM – PersonEntity: Name: NameFull: Bak JL – PersonEntity: Name: NameFull: Sørensen PB – PersonEntity: Name: NameFull: Yu H – PersonEntity: Name: NameFull: Damgaard C IsPartOfRelationships: – BibEntity: Dates: – D: 06 M: 06 Text: 2026 Jun 06 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1573-2959 Numbering: – Type: volume Value: 198 – Type: issue Value: 7 Titles: – TitleFull: Environmental monitoring and assessment Type: main |
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