Deep spatio-temporal learning for multi-hazard events: A ConvGRU multi-label classification approach.
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| Title: | Deep spatio-temporal learning for multi-hazard events: A ConvGRU multi-label classification approach. |
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| Authors: | Zahra, Syeda Zoupash1, zoupash@cuivehari.edu.pk, Saher, Najia2, najiasaher@gmail.com, Sattar, Kalim1,3, kalim@cuivehari.edu.pk, Missen, Malik Muhammad Saad4, saad.missen@iub.edu.pk, Bashir, Rab Nawaz3,5, rabnawaz@cuivehari.edu.pk, Faheem, Muhammad6, muhammad.faheem@vtt.fi, Rehman, Amjad5, arkhan@psu.edu.sa |
| Source: | GeoInformatica; Jun2026, Vol. 30 Issue 1, p1-24, 24p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 191961574 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Deep spatio-temporal learning for multi-hazard events: A ConvGRU multi-label classification approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Zahra%2C+Syeda+Zoupash%22">Zahra, Syeda Zoupash</searchLink><relatesTo>1</relatesTo>, <i>zoupash@cuivehari.edu.pk</i><br /><searchLink fieldCode="AU" term="%22Saher%2C+Najia%22">Saher, Najia</searchLink><relatesTo>2</relatesTo>, <i>najiasaher@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Sattar%2C+Kalim%22">Sattar, Kalim</searchLink><relatesTo>1,3</relatesTo>, <i>kalim@cuivehari.edu.pk</i><br /><searchLink fieldCode="AU" term="%22Missen%2C+Malik+Muhammad+Saad%22">Missen, Malik Muhammad Saad</searchLink><relatesTo>4</relatesTo>, <i>saad.missen@iub.edu.pk</i><br /><searchLink fieldCode="AU" term="%22Bashir%2C+Rab+Nawaz%22">Bashir, Rab Nawaz</searchLink><relatesTo>3,5</relatesTo>, <i>rabnawaz@cuivehari.edu.pk</i><br /><searchLink fieldCode="AU" term="%22Faheem%2C+Muhammad%22">Faheem, Muhammad</searchLink><relatesTo>6</relatesTo>, <i>muhammad.faheem@vtt.fi</i><br /><searchLink fieldCode="AU" term="%22Rehman%2C+Amjad%22">Rehman, Amjad</searchLink><relatesTo>5</relatesTo>, <i>arkhan@psu.edu.sa</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22GeoInformatica%22">GeoInformatica</searchLink>; Jun2026, Vol. 30 Issue 1, p1-24, 24p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191961574 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10707-026-00568-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 1 Titles: – TitleFull: Deep spatio-temporal learning for multi-hazard events: A ConvGRU multi-label classification approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zahra, Syeda Zoupash – PersonEntity: Name: NameFull: Saher, Najia – PersonEntity: Name: NameFull: Sattar, Kalim – PersonEntity: Name: NameFull: Missen, Malik Muhammad Saad – PersonEntity: Name: NameFull: Bashir, Rab Nawaz – PersonEntity: Name: NameFull: Faheem, Muhammad – PersonEntity: Name: NameFull: Rehman, Amjad IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 13846175 Numbering: – Type: volume Value: 30 – Type: issue Value: 1 Titles: – TitleFull: GeoInformatica Type: main |
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