Blar i Department of Information and Communication Technology på forfatter "Rasmussen, Jeppe Have"

Viser treff 1-4 av 4

    • Detecting and Classifying Hawaiian Monk Seal Vocalizations using Deep Learning 

      Hobrak, Lucas; Moen, Rebecca Atik; Bremnes, Kenneth Sotnedal (Master thesis, 2022)
      The Hawaiian monk seal (Neomonachus schauinslandi) is one of the most endangered ma- rine mammals in the world. With an estimated population of 1,570 individuals remaining in the wild, the species have an urgent conservation ...

    • Detecting and Classifying Hawaiian Monk Seal Vocalizations using Deep Learning 

      Hobrak, Lucas; Moen, Rebecca Atik; Bremnes, Kenneth Sotnedal (Master thesis, 2022)
      he Hawaiian monk seal (Neomonachus schauinslandi) is one of the most endangered marine mammals in the world. With an estimated population of 1,570 individuals remaining in the wild, the species have an urgent conservation ...

    • Detecting and Classifying Hawaiian Monk Seal Vocalizations using Deep Learning 

      Hobrak, Lucas; Moen, Rebecca Atik; Bremnes, Kenneth Sotnedal (Master thesis, 2022)
      The Hawaiian monk seal (Neomonachus schauinslandi) is one of the most endangered marine mammals in the world. With an estimated population of 1,570 individuals remaining in the wild, the species have an urgent conservation ...

    • Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook 

      Goodwin, Morten; Halvorsen, Kim Aleksander Tallaksen; Jiao, Lei; Knausgård, Kristian Muri; Martin, Angela Helen; Moyano, Marta; Oomen, Rebekah Alice; Rasmussen, Jeppe Have; Sørdalen, Tonje Knutsen; Thorbjørnsen, Susanna Huneide (Peer reviewed; Journal article, 2022)
      The deep learning (DL) revolution is touching all scientific disciplines and corners of our lives as a means of harnessing the power of big data. Marine ecology is no exception. New methods provide analysis of data from ...