Anomaliedetektion in räumlich-zeitlichen Datensätzen
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...
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| Yazar: | |
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| Materyal Türü: | Elektronik Kitap Bölümü |
| Baskı/Yayın Bilgisi: |
KIT Scientific Publishing
2023
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| Seri Bilgileri: | Karlsruher Schriften zur Anthropomatik
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| Konular: | |
| Online Erişim: | DOAB: download the publication DOAB: description of the publication |
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OAPEN Library: description of the publication
Anomaliedetektion in räumlich-zeitlichen Datensätzen
Baskı/Yayın Bilgisi 2023
OAPEN Library: download the publication
OAPEN Library: description of the publication
Elektronik
Kitap Bölümü