Browsing Faculty of Mathematics and Natural Sciences by Subject "SSD"

Now showing items 1-2 of 2

    • Employing Deep Learning for Fish Recognition 

      Reithaug, Adrian (Master thesis, 2018-08-21)
      Underwater imagery processing is in high demand, but the unrestricted environment makes it difficult to develop methods for analyzing it. Not only is obtaining a dataset for a single species difficult, but there are reported ...

    • Sexual size dimorphism of bark and ambrosia beetles 

      Grødem, Andreas (Master thesis, 2016-06-01)
      Size is a defining feature of an animal and is a result of counteracting forces of selection, and studying size and SSD can reveal what drives selection of body size in a given direction. Scolytinae and Platypodinae are ...