Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/98988
| Title: | Data-driven modeling of maritime transportation : key issues, challenges, and solutions | Authors: | Zhuge, D Wang, S Zhen, L Psaraftis, HN |
Issue Date: | Dec-2023 | Source: | Engineering, Dec. 2023, v. 31, p. 25-26 | Publisher: | Gaodeng Jiaoyu Chubanshe | Journal: | Engineering | ISSN: | 2095-8099 | EISSN: | 2096-0026 | DOI: | 10.1016/j.eng.2022.12.009 | Rights: | © 2023 THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). The 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. |
| Appears in Collections: | Journal/Magazine Article |
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| 1-s2.0-S2095809923000863-main.pdf | 276.94 kB | Adobe PDF | View/Open |
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