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Analysing the Effects of Weather Conditions on Container Terminal Operations Using Machine Learning
International Journal of Business Analytics (IJBAN), Ocak 2022, ISSN: 2334-4547
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Machine learning methods for predicting marine port accidents: a case study in container terminal
Ships and Offshore Structures, Ocak 2021, ISSN: 1744-5302","1754-212X
ATAK ÜSTÜN, ARSLANOĞLU YASİN
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Analysing the Effects of Weather Conditions on Container Terminal Operations Using Machine Learning
International Journal of Business Analytics (IJBAN), Ocak 2022, ISSN: 2334-4547
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Analysis of Container Terminal Accidents using Fuzzy C-means
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Machine learning methods for predicting marine port accidents: a case study in container terminal
Ships and Offshore Structures, Ocak 2021, ISSN: 1744-5302","1754-212X
ATAK ÜSTÜN, ARSLANOĞLU YASİN
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Container Terminal Workload Modeling Using Machine Learning Techniques
International Conference on Intelligent and Fuzzy Systems, 21 Temmuz 2020
ATAK ÜSTÜN,KAYA TOLGA,ARSLANOĞLU YASİN
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Machine learning methods for predicting marine port accidents: a case study in container terminal
Ships and Offshore Structures, Ocak 2021, ISSN: 1744-5302
ATAK ÜSTÜN, ARSLANOĞLU YASİN
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Analysing the Effects of Weather Conditions on Container Terminal Operations Using Machine Learning
International Journal of Business Analytics, Vol. 9, Ocak 2022, ISSN: 2334-4547
ATAK ÜSTÜN, KAYA TOLGA, ARSLANOĞLU YASİN
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Analysing the Effects of Weather Conditions on Container Terminal Operations Using Machine Learning
International Journal of Business Analytics, Vol. 9, Ocak 2022, ISSN: 2334-4547
ATAK ÜSTÜN, KAYA TOLGA, ARSLANOĞLU YASİN
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A new rule-based integrated decision making approach to container transshipment terminal selection
Maritime Policy Management, Vol. 46, No. 2, Eylül 2018, s. 237-256, ISSN: 0308-8839
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The Environmental Effects of Projected Container Terminal to the Safely Manoeuring
Advances in Marine Navigation and Safety of Sea Transportation, Gdynia/POLONYA, 20 Haziran 2007, s. 539-543
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Container Terminal Workload Modeling Using Machine Learning Techniques
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A simulation model proposal to improve the productivity of container terminal operations through investment alternatives
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A new rule-based integrated decision making approach to container transshipment terminal selection
Maritime Policy & Management, Vol. 46, No. 2, Haziran 2018, s. 237-256, ISSN: 0308-8839
KADAİFÇİ ÇİĞDEM,ASAN UMUT,SERDAR ASAN ŞEYDA,ARICAN UMUT
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