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  • 1
    Online Resource
    Online Resource
    Anomaliedetektion in räumlich-zeitlichen Datensätzen (2023)
    [Erscheinungsort nicht ermittelbar] : KIT Scientific Publishing
    Details
    Language: Undetermined
    Pages: 1 Online-Ressource (264 p.)
    Series Statement: Karlsruher Schriften zur Anthropomatik
    Keywords: Maths for computer scientists
    Abstract: Human support in surveillance tasks is crucial due to the overwhelming amount of sensor data. This work focuses on the development of data fusion methods using the maritime domain as an example. Various anomalies are investigated, evaluated using real vessel traffic data and tested with experts. For this purpose, situations of interest and anomalies are modelled and evaluated based on different machine learning methods
    Note: German
    URL: kostenfrei
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