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Developing a green multi-modal dry port-seaport logistics network enhanced by the internet of things and machine learning.

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Title: Developing a green multi-modal dry port-seaport logistics network enhanced by the internet of things and machine learning.
Authors: Rekabi, Shabnam1 (AUTHOR) shanam.rekabi7313@ut.ac.ir, Sazvar, Zeinab1 (AUTHOR) sazvar@ut.ac.ir, Tavakkoli-Moghaddam, Reza1,2 (AUTHOR) tavakoli@ut.ac.ir, Dolgui, Alexandre3 (AUTHOR) alexandre.dolgui@imt-atlantique.fr
Source: Computers & Industrial Engineering. Sep2025, Vol. 207, pN.PAG-N.PAG. 1p.
Database: Business Source Ultimate
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  Availability: 0
Header DbId: bsu
DbLabel: Business Source Ultimate
An: 187025600
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Computers+%26+Industrial+Engineering%22">Computers & Industrial Engineering</searchLink>. Sep2025, Vol. 207, pN.PAG-N.PAG. 1p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=187025600
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.cie.2025.111270
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      – Code: eng
        Text: English
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      – TitleFull: Developing a green multi-modal dry port-seaport logistics network enhanced by the internet of things and machine learning.
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            NameFull: Rekabi, Shabnam
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            NameFull: Sazvar, Zeinab
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            NameFull: Tavakkoli-Moghaddam, Reza
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            – D: 01
              M: 09
              Text: Sep2025
              Type: published
              Y: 2025
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              Value: 207
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