Waste Prediction Approach Using Hybrid Long Short-Term Memory with Support Vector Machine

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Waste Prediction Approach Using Hybrid Long Short-Term Memory with Support Vector Machine ; volume:17 ; number:1 ; day:24 ; month:4 ; year:2024 ; pages:1-16 ; date:12.2024
International journal of computational intelligence systems ; 17, Heft 1 (24.4.2024), 1-16, 12.2024

Classification: Soziale Probleme, Sozialdienste, Versicherungen

Creator: Fatovatikhah, Farnaz
Ahmedy, Ismail
Noor, Rafidah Md

Contributor: SpringerLink (Online service)

DOI: 10.1007/s44196-024-00485-w

URN: urn:nbn:de:101:1-2407090955073.705477509050

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:53 AM CEST

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Fatovatikhah, Farnaz
Ahmedy, Ismail
Noor, Rafidah Md
SpringerLink (Online service)

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Waste Prediction Approach Using Hybrid Long Short-Term Memory with Support Vector Machine

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