Machine learning models and methods for solving optimization and forecasting problems of the work of seaports
Machine learning techniques have made significant advances and expanded application sphere over the past decade to include problems of port operations. This happened due to the growing amount of data available cargo ports. We review the literature on models and methods of machine learning and their...
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| Format: | Article |
| Language: | Russian |
| Published: |
National Academy of Sciences of Belarus, the United Institute of Informatics Problems
2022-12-01
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| Series: | Informatika |
| Subjects: | |
| Online Access: | https://inf.grid.by/jour/article/view/1223 |
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| _version_ | 1832543447840456704 |
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| author | M. N. Lukashevich M. Y. Kovalyov |
| author_facet | M. N. Lukashevich M. Y. Kovalyov |
| author_sort | M. N. Lukashevich |
| collection | DOAJ |
| description | Machine learning techniques have made significant advances and expanded application sphere over the past decade to include problems of port operations. This happened due to the growing amount of data available cargo ports. We review the literature on models and methods of machine learning and their application to optimization of port operations. A special attention is paid to the port planning and development a wide range of topics in port operations, including port planning and development, their safety and security, water and land port operations. |
| format | Article |
| id | doaj-art-b812a7a3a933420aa5286adcfd3aa44e |
| institution | Kabale University |
| issn | 1816-0301 |
| language | Russian |
| publishDate | 2022-12-01 |
| publisher | National Academy of Sciences of Belarus, the United Institute of Informatics Problems |
| record_format | Article |
| series | Informatika |
| spelling | doaj-art-b812a7a3a933420aa5286adcfd3aa44e2025-02-03T11:40:30ZrusNational Academy of Sciences of Belarus, the United Institute of Informatics ProblemsInformatika1816-03012022-12-011949411010.37661/1816-0301-2022-19-4-94-1101019Machine learning models and methods for solving optimization and forecasting problems of the work of seaportsM. N. Lukashevich0M. Y. Kovalyov1Belarusian State UniversityThe United Institute of Informatics Problems of the National Academy of Sciences of BelarusMachine learning techniques have made significant advances and expanded application sphere over the past decade to include problems of port operations. This happened due to the growing amount of data available cargo ports. We review the literature on models and methods of machine learning and their application to optimization of port operations. A special attention is paid to the port planning and development a wide range of topics in port operations, including port planning and development, their safety and security, water and land port operations.https://inf.grid.by/jour/article/view/1223machine learningforecasting port forecastingport operationsanalytical reviewinternational transportation management |
| spellingShingle | M. N. Lukashevich M. Y. Kovalyov Machine learning models and methods for solving optimization and forecasting problems of the work of seaports Informatika machine learning forecasting port forecasting port operations analytical review international transportation management |
| title | Machine learning models and methods for solving optimization and forecasting problems of the work of seaports |
| title_full | Machine learning models and methods for solving optimization and forecasting problems of the work of seaports |
| title_fullStr | Machine learning models and methods for solving optimization and forecasting problems of the work of seaports |
| title_full_unstemmed | Machine learning models and methods for solving optimization and forecasting problems of the work of seaports |
| title_short | Machine learning models and methods for solving optimization and forecasting problems of the work of seaports |
| title_sort | machine learning models and methods for solving optimization and forecasting problems of the work of seaports |
| topic | machine learning forecasting port forecasting port operations analytical review international transportation management |
| url | https://inf.grid.by/jour/article/view/1223 |
| work_keys_str_mv | AT mnlukashevich machinelearningmodelsandmethodsforsolvingoptimizationandforecastingproblemsoftheworkofseaports AT mykovalyov machinelearningmodelsandmethodsforsolvingoptimizationandforecastingproblemsoftheworkofseaports |