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Record
Title
Real-World Applications of Anomaly Detection : Detecting the Unexpected Through Distributional Modelling
Type
Licentiate Thesis
Publ. year
2026
Author/s
Åström, Oskar
Department/s
Computer Vision and Machine Learning; eSSENCE: The e-Science Collaboration; LTH Profile Area: Engineering Health; ELLIIT: the Linköping-Lund initiative on IT and mobile communication; LTH Profile Area: AI and Digitalization
In LUP since
2026-01-19
Downloads

Total This Year This Month
2 2 2
Downloads per country
Sweden 1 (50%)
United States of America 1 (50%)
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The information on downloads per country is based on the geolocation of IP addresses and may not be completely accurate. The statistics presented here may also change retroactively when the calculation process is improved to provide more accurate results.

Statistics Last Updated
Thu Jan 29 08:47:08 2026