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ETA Prediction for vessels using Machine Learning
Flapper, Edwin (2020) ETA Prediction for vessels using Machine Learning.
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| Abstract: | Vessels entering and leaving a port follow a route consisting of waypoints. When a vessel is at one of these waypoints the vessel traffic service system needs to know the estimated time of arrival to the next waypoints. This research compares a variation of machine learning models in order to find the model best suited for short term vessel ETA prediction. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/82201 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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