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A method for short-term passenger flow prediction in urban rail transit based on deep learning.

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Title: A method for short-term passenger flow prediction in urban rail transit based on deep learning.
Authors: Dong, Ningning1, Li, Tiezhu1, litiezhu@seu.edu.cn, Liu, Tianhao1, Tu, Ran1, Lin, Fei2, Liu, Hui3, Bo, Yiyong3
Source: Multimedia Tools & Applications; Jul2024, Vol. 83 Issue 22, p61621-61643, 23p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 178131088
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A method for short-term passenger flow prediction in urban rail transit based on deep learning.
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  Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; Jul2024, Vol. 83 Issue 22, p61621-61643, 23p
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      – Type: doi
        Value: 10.1007/s11042-023-14388-z
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      – Code: eng
        Text: English
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        StartPage: 61621
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      – TitleFull: A method for short-term passenger flow prediction in urban rail transit based on deep learning.
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            NameFull: Dong, Ningning
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            NameFull: Liu, Tianhao
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            NameFull: Lin, Fei
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            NameFull: Liu, Hui
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            – D: 01
              M: 07
              Text: Jul2024
              Type: published
              Y: 2024
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