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Search: WFRF:(Abuella Mohamed Postdoktor 1980 )

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  • Abuella, Mohamed, Postdoktor, 1980-, et al. (author)
  • Spatial Clustering Approach for Vessel Path Identification
  • 2024
  • In: IEEE Access. - Piscataway, NJ : IEEE. - 2169-3536. ; 12, s. 66248-66258
  • Journal article (peer-reviewed)abstract
    • This paper addresses the challenge of identifying the paths for vessels with operating routes of repetitive paths, partially repetitive paths, and new paths. We propose a spatial clustering approach for labeling the vessel paths by using only position information. We develop a path clustering framework employing two methods: a distance-based path modeling and a likelihood estimation method. The former enhances the accuracy of path clustering through the integration of unsupervised machine learning techniques, while the latter focuses on likelihood-based path modeling and introduces segmentation for a more detailed analysis. The result findings highlight the superior performance and efficiency of the developed approach, as both methods for clustering vessel paths into five clusters achieve a perfect F1-score. The approach aims to offer valuable insights for route planning, ultimately contributing to improving safety and efficiency in maritime transportation. © 2013 IEEE.
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journal article (1)
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peer-reviewed (1)
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Atoui, M. Amine, 198 ... (1)
Nowaczyk, Sławomir, ... (1)
Johansson, Simon (1)
Faghani, Ethan (1)
Abuella, Mohamed, Po ... (1)
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Halmstad University (1)
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English (1)
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Natural sciences (1)
Engineering and Technology (1)
Year
2024 (1)

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