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Multi-task deep learning for joint prediction of traffic emissions and travel delay.

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Bibliographic Details
Title: Multi-task deep learning for joint prediction of traffic emissions and travel delay.
Authors: Roy, Keya1, keya@student.unimelb.edu.au, Chan, Lok Sang1, Zhang, Xiaocai1, Nassir, Neema1
Source: Transportation Research Part D: Transport & Environment; Sep2025, Vol. 146, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 187139274
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Multi-task deep learning for joint prediction of traffic emissions and travel delay.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187139274
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.trd.2025.104846
    Languages:
      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Multi-task deep learning for joint prediction of traffic emissions and travel delay.
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          Name:
            NameFull: Roy, Keya
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            NameFull: Chan, Lok Sang
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            NameFull: Zhang, Xiaocai
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            NameFull: Nassir, Neema
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            – D: 01
              M: 09
              Text: Sep2025
              Type: published
              Y: 2025
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              Value: 146
          Titles:
            – TitleFull: Transportation Research Part D: Transport & Environment
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