Machine learning-aided hybrid technique for dynamics of rail transit stations classification: a case study
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Machine learning-aided hybrid technique for dynamics of rail transit stations classification: a case study ; volume:14 ; number:1 ; day:13 ; month:10 ; year:2024 ; pages:1-30 ; date:12.2024
Scientific reports ; 14, Heft 1 (13.10.2024), 1-30, 12.2024
- Urheber
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Amini Pishro, Ahad
Zhang, Shiquan
L’Hostis, Alain
Liu, Yuetong
Hu, Qixiao
Hejazi, Farzad
Shahpasand, Maryam
Rahman, Ali
Oueslati, Abdelbacet
Zhang, Zhengrui
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41598-024-75541-8
- URN
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urn:nbn:de:101:1-2503012119537.880131273191
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:22 MESZ
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Beteiligte
- Amini Pishro, Ahad
- Zhang, Shiquan
- L’Hostis, Alain
- Liu, Yuetong
- Hu, Qixiao
- Hejazi, Farzad
- Shahpasand, Maryam
- Rahman, Ali
- Oueslati, Abdelbacet
- Zhang, Zhengrui
- SpringerLink (Online service)
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