Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98988
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dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorZhuge, Den_US
dc.creatorWang, Sen_US
dc.creatorZhen, Len_US
dc.creatorPsaraftis, HNen_US
dc.date.accessioned2023-06-08T01:08:31Z-
dc.date.available2023-06-08T01:08:31Z-
dc.identifier.issn2095-8099en_US
dc.identifier.urihttp://hdl.handle.net/10397/98988-
dc.language.isoenen_US
dc.publisherGaodeng Jiaoyu Chubansheen_US
dc.rights© 2023 THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company.en_US
dc.rightsThis is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
dc.rightsThe following publication Zhuge, D., Wang, S., Zhen, L., & Psaraftis, H. N. (2023). Data-Driven Modeling of Maritime Transportation: Key Issues, Challenges, and Solutions. Engineering, 31, 25-26 is available at https://doi.org/10.1016/j.eng.2022.12.009.en_US
dc.titleData-driven modeling of maritime transportation : key issues, challenges, and solutionsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage25en_US
dc.identifier.epage26en_US
dc.identifier.volume31en_US
dc.identifier.doi10.1016/j.eng.2022.12.009en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEngineering, Dec. 2023, v. 31, p. 25-26en_US
dcterms.isPartOfEngineeringen_US
dcterms.issued2023-12-
dc.identifier.eissn2096-0026en_US
dc.description.validate202306 bckwen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera2091-
dc.identifier.SubFormID46550-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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