Container Terminal Workload Modeling Using Machine Learning Techniques

Author:

Atak ÜstünORCID,Kaya TolgaORCID,Arslanoğlu YasinORCID

Publisher

Springer International Publishing

Reference24 articles.

1. Lecue, M., Darbra, R.M.: Accidents in European ports involving chemical substances: characteristics and trends. Saf. Sci. 115, 278–284 (2019)

2. Cao, X., Lam, J.S.L.: A fast reaction-based port vulnerability assessment: Case of Tianjin Port explosion. Transp. Res. Part A: Policy and Pract. 128, 11–33 (2019)

3. Helle, I., Jolma, A., Venesjarvi, R.: Species and habitats in danger: estimating the relative risk posed by oil spills in the northern Baltic Sea. Ecosphere 7(5), e01344 (2016)

4. Tirunagari, S.: Data mining of causal relations from text: analysing maritime accident investigation reports. arXiv preprint arXiv:1507.02447 (2015)

5. Petersen, J.P., Jacobsen, D.J., Winther, O.: Statistical modelling for ship propulsion efficiency. J. Mar. Sci. Technol. 17, 30–39 (2012)

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